new stepwise
DESCRIPTION
cdaTRANSCRIPT
data ICU;input died age sex race service cancer renal infect cpr systolic hrtrate previcu admit fracture po2 ph pco bic creatin coma white uncons;datalines;1 92 0 1 0 0 0 1 0 124 80 0 1
0 0 0 0 1 0 0 1 01 91 0 1 0 0 0 1 0 64 125 0 1
0 0 0 1 0 0 0 1 01 88 0 1 0 0 0 1 1 141 140 0 1
0 0 0 0 0 0 0 1 01 87 1 1 1 0 0 1 0 80 96 0 1
1 1 1 1 0 0 0 1 01 85 1 1 1 0 0 0 0 136 96 0 1
0 0 0 0 0 0 0 1 01 80 0 1 1 0 0 0 0 100 85 0 1
0 0 0 0 0 0 0 1 01 78 0 1 0 0 0 1 0 130 132 0 1
0 0 0 0 1 0 0 1 01 78 0 1 0 0 0 1 0 110 81 0 1
0 0 0 0 0 0 0 1 01 76 1 1 1 0 0 1 0 128 90 1 1
0 0 0 0 0 0 0 1 01 75 1 1 1 1 0 0 0 130 136 0 0
0 0 0 0 0 0 0 1 01 75 0 1 0 0 0 1 0 90 100 0 1
0 0 0 0 0 0 1 1 11 75 1 1 0 1 0 0 0 190 94 0 1
0 0 0 0 0 0 0 1 01 75 0 1 0 0 1 1 0 130 119 0 1
0 0 1 0 1 1 0 1 01 75 1 1 0 0 1 1 1 150 66 0 1
0 0 0 0 0 1 2 1 11 72 1 1 0 0 0 0 0 90 160 0 1
0 0 0 0 0 0 0 1 01 71 0 1 0 0 0 0 0 142 95 0 1
0 0 0 0 0 0 0 1 01 71 1 1 0 0 0 0 1 70 112 0 1
0 0 0 0 0 0 2 1 11 70 0 1 1 0 0 0 0 168 122 0 0
0 1 0 0 0 0 1 1 11 69 1 3 0 0 1 0 0 170 60 1 1
0 1 0 0 0 0 0 0 01 69 0 1 0 0 1 0 0 80 81 0 1
0 0 0 0 0 0 2 1 11 67 1 1 0 0 0 1 0 62 145 0 1
0 0 0 0 0 1 0 1 01 65 0 1 0 0 0 0 0 66 94 0 1
0 0 0 0 0 0 2 1 11 65 1 1 0 0 0 1 1 104 150 0 1
0 0 0 1 0 0 2 1 1
1 64 0 1 0 1 0 1 0 80 118 0 10 1 0 0 0 1 0 1 0
1 63 0 1 0 0 1 1 0 112 106 1 10 1 0 0 0 0 0 1 0
1 63 1 1 1 0 1 1 1 36 86 0 11 0 0 0 0 1 2 1 1
1 61 0 1 0 0 0 0 0 140 81 0 10 0 0 0 0 0 0 1 0
1 60 0 1 0 0 0 1 0 56 114 1 10 0 1 0 1 0 0 1 0
1 60 0 3 1 0 1 1 0 130 55 0 10 0 0 0 0 0 1 0 1
1 57 0 1 0 0 0 1 1 110 124 0 10 0 0 0 0 0 2 1 1
1 55 0 1 1 0 1 1 0 122 100 1 10 0 0 0 0 0 0 1 0
1 53 1 1 0 0 0 1 0 148 128 0 10 0 1 1 0 0 0 1 0
1 51 1 1 1 0 0 1 0 134 100 1 10 0 0 0 0 0 1 1 1
1 50 1 1 1 1 0 0 0 120 96 0 10 0 0 0 0 0 0 1 0
1 50 1 2 0 0 0 0 0 256 64 0 10 0 0 0 0 0 1 0 1
1 49 0 1 0 0 0 1 1 140 108 0 10 0 0 0 1 0 0 1 0
1 41 0 1 1 0 0 1 0 140 58 0 10 0 0 0 0 0 2 1 1
1 40 0 1 0 0 0 1 0 86 80 1 10 0 0 0 0 0 0 1 0
1 20 0 1 1 0 0 0 0 148 72 0 11 0 0 0 0 0 0 1 0
1 19 0 1 1 0 0 0 0 140 76 0 10 0 0 0 0 0 0 1 0
0 91 0 1 0 0 1 1 0 152 125 0 10 0 0 0 0 0 0 1 0
0 89 1 1 1 0 0 0 0 190 114 0 10 0 0 1 0 0 2 1 1
0 88 1 1 1 0 0 1 0 140 88 1 10 0 0 0 0 0 0 1 0
0 88 1 1 1 0 0 0 0 110 46 1 00 0 0 0 0 0 0 1 0
0 88 1 1 0 0 1 0 0 190 88 0 10 0 0 0 0 0 0 1 0
0 87 1 1 1 0 0 1 0 110 154 1 10 0 0 0 0 0 0 1 0
0 84 1 1 0 0 1 1 0 100 103 0 10 0 0 0 1 1 0 1 0
0 83 1 1 1 0 0 1 0 138 91 0 10 0 0 0 0 0 0 1 0
0 82 0 1 1 0 0 0 0 135 70 0 00 0 0 0 0 0 0 1 0
0 82 0 1 1 0 1 1 0 130 131 0 10 0 0 0 0 0 0 1 0
0 80 1 1 1 0 0 0 0 162 44 0 10 0 0 0 0 0 0 1 0
0 80 0 1 0 0 0 0 0 122 126 0 10 1 0 0 1 0 0 1 0
0 79 0 1 1 0 0 1 0 112 67 0 00 0 0 0 0 0 0 1 0
0 78 0 1 1 0 0 0 0 180 75 0 00 0 0 0 0 0 0 1 0
0 78 1 1 1 0 0 1 0 126 96 0 10 0 0 0 0 0 0 1 0
0 77 0 1 1 0 0 0 0 100 70 0 00 0 0 0 0 0 0 1 0
0 77 0 1 1 0 0 1 0 158 107 0 00 0 0 0 0 0 0 1 0
0 77 1 1 1 1 0 0 0 212 87 0 00 0 0 1 0 0 0 1 0
0 77 1 1 0 0 0 1 0 136 138 0 00 1 1 1 0 0 0 1 0
0 77 1 1 1 0 1 0 0 170 115 1 00 0 0 0 0 0 0 1 0
0 77 0 1 1 0 0 0 0 128 59 0 00 0 0 0 0 0 0 1 0
0 76 0 1 1 0 0 1 0 110 70 0 10 0 0 0 0 0 0 1 0
0 76 0 1 0 0 0 1 0 190 100 0 10 0 0 0 0 0 0 1 0
0 76 1 1 0 0 0 1 0 92 112 0 10 0 0 0 0 0 0 1 0
0 75 1 1 1 0 0 0 0 100 48 0 00 0 0 0 0 0 0 1 0
0 75 0 1 1 0 0 0 0 140 90 0 10 0 0 0 0 0 0 1 0
0 75 0 3 1 0 0 0 0 144 120 0 10 0 0 0 0 1 0 0 0
0 74 1 1 1 0 0 0 0 170 92 0 00 0 0 1 0 0 0 1 0
0 74 0 1 1 0 0 0 0 174 86 0 00 0 0 0 0 0 0 1 0
0 73 1 1 1 1 0 0 0 134 60 0 00 0 0 1 0 0 0 1 0
0 73 0 1 1 0 0 0 0 170 88 0 00 0 0 0 0 0 0 1 0
0 73 1 1 1 0 0 0 0 130 83 0 10 0 0 0 0 0 0 1 0
0 73 1 2 0 0 1 0 0 162 100 0 10 0 0 0 0 0 0 0 0
0 72 0 1 1 0 0 0 0 120 80 1 00 0 0 0 0 0 0 1 0
0 72 1 1 1 0 0 0 0 130 86 0 10 0 0 0 0 0 0 1 0
0 72 0 1 1 0 0 0 0 126 88 0 00 0 0 0 0 0 0 1 0
0 72 0 1 1 0 0 0 0 134 60 0 10 0 0 0 0 0 0 1 0
0 71 1 1 0 0 0 1 0 124 106 0 10 0 0 0 0 0 0 1 0
0 71 0 1 0 0 0 1 0 148 192 0 10 1 1 1 0 0 0 1 0
0 71 0 1 1 1 0 0 0 204 52 0 00 0 0 0 0 0 0 1 0
0 71 0 1 0 0 0 1 0 124 124 0 10 1 1 1 0 0 0 1 0
0 70 1 1 1 1 0 0 0 138 103 0 00 0 0 0 0 0 0 1 0
0 70 0 1 0 0 0 0 0 86 153 1 10 0 0 1 0 0 0 1 0
0 70 0 1 1 0 0 0 0 160 60 0 00 0 0 0 0 0 0 1 0
0 70 0 1 0 0 0 1 0 78 143 0 10 1 0 0 0 0 0 1 0
0 70 1 1 0 0 0 1 0 90 140 0 10 1 0 0 1 0 0 1 0
0 69 0 1 0 0 0 1 0 110 132 0 10 1 0 0 1 0 0 1 0
0 69 1 1 1 0 0 0 0 132 60 0 10 0 0 0 0 0 0 1 0
0 69 0 1 1 0 0 0 0 170 100 0 00 0 0 0 0 0 0 1 0
0 69 1 1 1 0 0 0 0 150 85 0 10 0 0 0 0 0 0 1 0
0 69 0 1 1 0 0 0 0 169 73 0 10 0 0 0 0 0 0 1 0
0 68 0 1 1 0 0 0 0 158 96 0 00 0 0 0 0 0 0 1 0
0 68 0 1 1 0 0 0 0 142 89 0 00 0 0 0 0 0 0 1 0
0 68 1 1 0 0 0 1 0 200 170 1 10 0 0 0 0 0 0 1 0
0 68 1 1 1 0 0 0 0 154 74 0 00 0 0 0 0 0 0 1 0
0 68 0 1 1 0 0 0 0 112 64 0 00 0 0 0 0 0 0 1 0
0 68 1 1 1 1 0 0 0 91 79 0 00 0 0 0 0 0 0 1 0
0 67 1 1 0 0 0 1 0 190 125 0 10 0 0 0 0 0 0 1 0
0 67 0 2 1 0 0 0 0 90 92 1 00 0 0 0 0 0 0 0 0
0 67 1 1 0 0 0 0 1 120 120 0 10 0 1 1 0 0 0 1 0
0 67 0 1 1 0 0 0 0 152 78 0 00 0 0 0 0 0 0 1 0
0 66 1 1 1 0 0 0 0 160 80 1 00 0 0 0 0 0 0 1 0
0 66 0 1 0 0 0 0 0 206 90 0 10 0 0 0 0 1 0 1 0
0 66 1 1 0 0 0 1 0 170 95 1 10 0 0 0 0 0 0 1 0
0 66 0 2 1 1 0 1 0 150 120 0 00 0 0 1 0 0 0 0 0
0 66 1 1 1 0 0 1 0 139 92 0 00 0 0 0 0 0 0 1 0
0 65 0 3 1 0 0 0 0 208 124 0 00 0 0 0 0 0 0 0 0
0 65 1 1 0 0 0 0 0 100 105 0 10 0 0 0 0 0 0 1 0
0 64 1 3 1 0 0 1 0 158 90 1 10 0 0 0 0 0 0 0 0
0 64 0 1 1 0 0 1 0 160 120 0 00 0 0 0 0 0 0 1 0
0 64 0 1 0 0 0 0 0 162 114 0 10 0 0 0 0 0 0 1 0
0 64 1 1 0 0 0 1 0 126 122 0 10 1 0 1 0 0 0 1 0
0 64 0 1 1 1 0 1 0 116 88 0 00 0 0 0 0 0 0 1 0
0 63 0 1 1 0 0 0 0 104 66 0 00 0 0 0 0 0 0 1 0
0 63 0 1 0 0 0 0 0 132 128 1 10 0 0 0 0 0 0 1 0
0 63 0 1 1 0 0 1 0 162 84 1 10 0 0 0 0 0 0 1 0
0 62 0 1 1 0 1 0 0 200 120 0 00 0 0 0 0 0 0 1 0
0 62 1 1 0 0 0 0 0 110 78 0 10 0 0 0 0 0 0 1 0
0 61 1 1 0 0 1 0 0 174 99 0 10 0 1 0 1 1 0 1 0
0 61 0 1 0 0 0 1 0 110 120 0 10 0 0 0 0 0 0 1 0
0 61 0 1 1 0 0 1 0 68 124 0 10 0 0 0 0 0 0 1 0
0 60 0 1 0 0 0 1 1 114 110 0 10 0 0 0 0 0 0 1 0
0 60 0 1 1 1 0 1 0 110 92 0 00 0 0 0 0 0 0 1 0
0 60 0 1 1 0 0 1 0 124 135 0 10 0 0 0 0 0 0 1 0
0 60 1 2 0 0 0 1 0 116 92 1 10 0 0 0 0 0 0 0 0
0 60 0 1 0 0 0 1 0 108 120 0 10 0 0 0 0 0 0 1 0
0 59 0 1 0 0 0 0 0 112 80 1 10 0 0 0 0 0 0 1 0
0 59 0 1 0 0 0 1 0 48 39 0 10 1 0 1 1 0 2 1 1
0 59 0 1 0 0 0 0 0 100 88 0 10 0 0 0 0 0 0 1 0
0 58 0 1 0 0 0 0 0 154 98 0 10 0 0 0 0 0 0 1 0
0 58 0 1 1 0 0 0 0 148 95 1 10 0 0 0 0 0 0 1 0
0 57 0 1 0 0 0 1 0 128 104 0 10 0 0 1 0 0 0 1 0
0 55 1 1 1 0 0 1 0 188 86 1 00 0 0 0 0 0 0 1 0
0 55 0 1 1 0 0 1 0 140 116 0 00 0 0 0 0 0 0 1 0
0 55 0 1 1 0 0 0 0 128 92 0 00 0 0 0 0 0 0 1 0
0 55 0 1 0 0 0 0 0 132 112 0 10 0 0 0 0 0 0 1 0
0 55 0 1 0 0 0 0 0 190 136 0 10 1 1 1 0 0 0 1 0
0 55 1 1 0 0 0 1 0 110 86 0 10 0 0 0 0 0 0 1 0
0 55 0 1 1 1 0 1 0 138 140 0 00 0 0 0 0 0 0 1 0
0 54 0 1 0 0 0 1 0 142 103 0 11 0 0 0 0 0 0 1 0
0 54 0 1 1 0 0 0 0 136 80 0 00 0 0 0 0 0 0 1 0
0 53 0 3 1 0 0 0 0 110 70 1 00 0 0 0 0 0 0 0 0
0 53 0 2 0 0 1 0 1 170 115 0 10 0 0 0 0 0 0 0 0
0 52 0 1 1 0 0 1 0 150 71 1 00 0 0 0 0 0 0 1 0
0 51 0 1 0 0 0 0 0 110 99 0 10 0 0 0 0 0 0 1 0
0 50 0 1 0 0 0 1 0 156 99 0 10 1 0 1 0 0 0 1 0
0 49 0 1 0 0 0 1 0 112 112 0 10 0 0 0 0 0 0 1 0
0 49 0 2 0 0 0 0 0 150 100 0 10 0 0 0 0 0 0 0 0
0 48 0 2 1 1 0 0 0 162 100 0 00 0 0 0 0 0 0 0 0
0 48 0 2 1 0 0 1 0 92 162 1 10 0 0 0 0 0 0 0 0
0 48 1 1 0 0 0 0 1 128 96 0 10 0 0 0 0 0 0 1 0
0 47 0 1 1 1 0 1 0 120 83 0 00 0 0 0 0 0 0 1 0
0 47 1 1 1 0 0 0 0 132 68 0 10 0 0 0 0 0 0 1 0
0 47 0 1 1 0 0 0 0 156 112 0 10 0 0 0 0 0 0 1 0
0 46 1 1 1 1 0 0 0 132 90 0 10 0 0 0 0 0 0 1 0
0 46 0 1 1 1 0 0 0 110 128 0 00 0 0 0 0 0 0 1 0
0 46 0 1 0 0 1 1 0 142 89 0 10 0 1 0 1 0 0 1 0
0 45 0 1 0 0 0 0 0 126 110 0 10 0 0 0 0 0 0 1 0
0 45 1 1 1 0 0 0 0 132 109 0 11 0 0 0 0 0 0 1 0
0 42 0 1 1 0 0 0 0 122 84 0 11 0 0 0 0 0 0 1 0
0 41 1 1 0 0 0 1 0 118 145 0 10 0 1 0 1 0 0 1 0
0 41 1 2 0 0 0 0 0 110 144 0 10 0 0 0 1 1 0 0 0
0 40 0 1 1 0 0 0 0 140 65 0 11 0 0 0 0 0 0 1 0
0 40 0 1 0 0 0 0 0 130 65 0 10 0 0 0 0 0 0 1 0
0 40 0 2 0 0 0 1 0 160 150 1 11 0 0 0 0 0 0 0 0
0 36 0 1 0 0 0 0 0 224 125 0 10 0 0 0 0 0 0 1 0
0 35 0 2 0 0 0 0 0 108 60 0 10 0 0 0 0 0 0 0 0
0 35 0 1 0 0 0 0 0 150 98 0 10 0 0 0 0 0 0 1 0
0 34 0 1 1 0 0 0 0 110 80 0 11 0 0 0 0 0 0 1 0
0 32 0 2 1 0 0 0 0 120 84 0 10 0 0 0 0 0 0 0 0
0 32 1 3 0 0 0 1 1 110 118 0 10 0 0 0 0 0 0 0 0
0 31 1 1 0 1 1 1 1 146 100 0 10 0 1 1 0 0 0 1 0
0 30 1 1 0 0 0 0 0 144 110 0 10 0 0 0 0 0 0 1 0
0 28 0 1 1 0 0 1 0 122 80 1 01 0 0 0 0 0 0 1 0
0 27 1 1 0 0 0 1 0 142 88 0 10 0 0 0 0 0 0 1 0
0 25 1 1 0 0 0 0 0 131 135 0 10 0 0 0 1 0 0 1 0
0 24 1 2 0 0 0 0 0 140 86 0 10 0 0 0 0 0 0 0 0
0 23 1 1 1 0 0 0 0 112 64 0 11 0 0 0 0 0 0 1 0
0 23 0 1 0 0 0 1 0 144 88 0 10 0 0 0 0 0 0 1 0
0 23 1 1 0 0 0 1 0 120 88 0 10 0 0 0 0 0 0 1 0
0 23 0 2 0 0 0 0 0 130 52 0 10 0 0 0 0 0 0 0 0
0 21 0 1 1 0 0 0 0 120 62 0 10 0 0 0 0 0 0 1 0
0 21 0 1 1 0 0 0 0 110 90 0 10 0 0 0 0 0 0 1 0
0 21 1 1 1 0 0 0 0 142 79 0 10 0 0 0 0 0 0 1 0
0 20 0 1 1 0 0 0 0 164 108 0 10 0 0 0 0 0 0 1 0
0 20 0 3 0 0 0 0 0 120 68 0 10 0 0 0 0 0 0 0 0
0 20 0 1 1 0 0 0 0 120 80 0 10 0 0 0 0 0 0 1 0
0 20 0 1 1 0 0 0 0 104 83 0 10 0 0 0 0 0 0 1 0
0 19 1 1 1 0 0 1 0 142 106 0 11 0 0 0 0 0 0 1 0
0 19 1 1 1 0 0 1 0 104 121 1 00 0 0 0 0 0 0 1 0
0 19 0 1 1 0 0 1 0 100 137 0 10 0 0 0 0 0 0 1 0
0 18 1 1 0 0 0 0 0 146 112 0 10 0 0 0 0 0 0 1 0
0 18 0 1 1 1 0 0 0 156 99 0 00 0 0 0 0 0 0 1 0
0 18 0 1 1 0 0 0 0 112 76 0 11 0 0 0 0 0 0 1 0
0 18 0 1 1 1 0 0 0 130 140 0 00 0 0 0 0 0 0 1 0
0 17 0 1 1 0 0 0 0 140 78 0 11 0 0 0 0 0 0 1 0
0 17 1 3 0 0 0 0 0 130 140 0 10 0 0 0 0 0 0 0 0
0 17 0 3 1 0 0 0 0 136 78 0 10 0 0 0 0 0 0 0 0
0 16 1 1 0 0 0 0 0 104 111 0 10 0 0 0 0 0 0 1 0
0 16 0 1 1 0 0 0 0 100 140 0 11 0 0 0 0 0 0 1 0
;proc logistic data=ICU plot(UNPACK LABEL)=ALL;class sex race service cancer renal infect cpr previcu admit fracture po2 ph pco bic creatin coma white uncons/parameter=references;model died (event='1')=age sex race service cancer renal infect cpr systolic hrtrate previcu admit fracture po2 ph pco bic creatin coma white uncons /selection=stepwise influence slentry=0.15 slstay=0.20;run;
SAS OUTPUT
The SAS System
The LOGISTIC Procedure
Model Information
Data Set WORK.ICU
Response Variable died
Number of Response Levels 2
Model binary logit
Optimization Technique Fisher's scoring
Number of Observations Read
200
Number of Observations Used 200
Response Profile
Ordered
Value
died TotalFrequency
1 0 160
2 1 40
Probability modeled is died=1.
Stepwise Selection Procedure
Class Level Information
Class Value Design Variables
sex 0 1
1 0
race 1 1 0
2 0 1
3 0 0
service 0 1
1 0
cancer 0 1
1 0
renal 0 1
1 0
infect 0 1
1 0
cpr 0 1
1 0
previcu 0 1
1 0
admit 0 1
1 0
fracture 0 1
1 0
po2 0 1
1 0
ph 0 1
1 0
pco 0 1
1 0
bic 0 1
1 0
creatin 0 1
Class Level Information
Class Value Design Variables
1 0
coma 0 1 0
1 0 1
2 0 0
white 0 1
1 0
uncons 0 1
1 0
Step 0. Intercept entered:
Model Convergence Status
Convergence criterion (GCONV=1E-8) satisfied.
-2 Log L = 200.161
Residual Chi-Square Test
Chi-Square DF
Pr > ChiSq
78.3007 21 <.0001
Step 1. Effect uncons entered:
Model Convergence Status
Convergence criterion (GCONV=1E-8) satisfied.
Model Fit Statistics
Criterion InterceptOnly
Interceptand
Covariates
AIC 202.161 169.557
SC 205.459 176.153
-2 Log L 200.161 165.557
Testing Global Null Hypothesis: BETA=0
Test Chi-Square DF Pr > ChiSq
Likelihood Ratio
34.6043 1 <.0001
Score 45.0450 1 <.0001
Wald 21.3435 1 <.0001
Residual Chi-Square Test
Chi-Square DF
Pr > ChiSq
43.0824 20 0.0020
Note: No effects for the model in Step 1 are removed.
Step 2. Effect admit entered:
Model Convergence Status
Convergence criterion (GCONV=1E-8) satisfied.
Model Fit Statistics
Criterion InterceptOnly
Interceptand
Covariates
AIC 202.161 160.514
SC 205.459 170.409
-2 Log L 200.161 154.514
Testing Global Null Hypothesis: BETA=0
Test Chi-Square DF Pr > ChiSq
Likelihood Ratio
45.6470 2 <.0001
Score 51.8433 2 <.0001
Wald 23.6228 2 <.0001
Residual Chi-Square Test
Chi-Square DF
Pr > ChiSq
35.9247 19 0.0108
Note: No effects for the model in Step 2 are removed.
Step 3. Effect age entered:
Model Convergence Status
Convergence criterion (GCONV=1E-8) satisfied.
Model Fit Statistics
Criterion InterceptOnly
Interceptand
Covariates
AIC 202.161 153.311
SC 205.459 166.504
-2 Log L 200.161 145.311
Testing Global Null Hypothesis: BETA=0
Test Chi-Square DF Pr > ChiSq
Likelihood Ratio
54.8503 3 <.0001
Score 58.8672 3 <.0001
Wald 29.6563 3 <.0001
Residual Chi-Square Test
Chi-Square DF
Pr > ChiSq
31.2445 18 0.0270
Note: No effects for the model in Step 3 are removed.
Step 4. Effect cancer entered:
Model Convergence Status
Convergence criterion (GCONV=1E-8) satisfied.
Model Fit Statistics
Criterion InterceptOnly
Interceptand
Covariates
AIC 202.161 149.135
SC 205.459 165.626
-2 Log L 200.161 139.135
Testing Global Null Hypothesis: BETA=0
Test Chi-Square DF Pr > ChiSq
Likelihood Ratio
61.0263 4 <.0001
Score 62.6722 4 <.0001
Wald 30.9856 4 <.0001
Residual Chi-Square Test
Chi-Square DF
Pr > ChiSq
23.7892 17 0.1253
Note: No effects for the model in Step 4 are removed.
Step 5. Effect systolic entered:
Model Convergence Status
Convergence criterion (GCONV=1E-8) satisfied.
Model Fit Statistics
Criterion InterceptOnly
Interceptand
Covariates
AIC 202.161 147.612
SC 205.459 167.401
-2 Log L 200.161 135.612
Testing Global Null Hypothesis: BETA=0
Test Chi-Square DF Pr > ChiSq
Likelihood Ratio
64.5494 5 <.0001
Score 65.5781 5 <.0001
Wald 30.2852 5 <.0001
Residual Chi-Square Test
Chi-Square DF
Pr > ChiSq
20.9153 16 0.1818
Note: No effects for the model in Step 5 are removed.
Step 6. Effect coma entered:
Model Convergence Status
Quasi-complete separation of data points detected.
Warning: The maximum likelihood estimate may not exist.
Warning: The LOGISTIC procedure continues in spite of the above warning. Results shown are based on the last maximum likelihood iteration. Validity of the model fit is questionable.
Model Fit Statistics
Criterion InterceptOnly
Interceptand
Covariates
AIC 202.161 142.440
SC 205.459 165.529
-2 Log L 200.161 128.440
Testing Global Null Hypothesis: BETA=0
Test Chi-Square DF Pr > ChiSq
Likelihood Ratio
71.7206 6 <.0001
Score 68.2557 6 <.0001
Testing Global Null Hypothesis: BETA=0
Test Chi-Square DF Pr > ChiSq
Wald 29.4926 6 <.0001
Residual Chi-Square Test
Chi-Square DF
Pr > ChiSq
13.7078 15 0.5478
Note: uncons was removed because of its redundancy.
Note: No effects for the model in Step 6 are removed.
Note: No (additional) effects met the 0.15 significance level for entry into the model.
Summary of Stepwise Selection
Step Effect DF NumberIn
ScoreChi-Square
WaldChi-Square
Pr > ChiSq
Entered
Removed
1 uncons 1 1 45.0450 <.0001
2 admit 1 2 8.7420 0.0031
3 age 1 3 8.4341 0.0037
4 cancer 1 4 8.1317 0.0043
5 systolic 1 5 3.4869 0.0619
6 coma 1 6 6.4866 0.0109
Type 3 Analysis of Effects
Effect DF
WaldChi-Square
Pr > ChiSq
age 1 8.7710 0.0031
cancer 1 7.2817 0.0070
systolic 1 5.6735 0.0172
admit 1 9.1835 0.0024
coma 2 7.6434 0.0219
Analysis of Maximum Likelihood Estimates
Parameter DF Estimate StandardError
WaldChi-Square
Pr > ChiSq
Intercept 1 3.4291 1.7267 3.9439 0.0470
age 1 0.0383 0.0129 8.7710 0.0031
cancer 0 1 -2.5974 0.9626 7.2817 0.0070
systolic 1 -0.0178 0.00747 5.6735 0.0172
admit 0 1 -3.8479 1.2697 9.1835 0.0024
coma 0 1 -2.4169 0.8743 7.6421 0.0057
coma 1 1 16.0708 521.2 0.0010 0.9754
Odds Ratio Estimates
Effect Point Estimate 95% WaldConfidence Limits
age 1.039 1.013 1.066
cancer 0 vs 1
0.074 0.011 0.491
systolic 0.982 0.968 0.997
admit 0 vs 1 0.021 0.002 0.257
coma 0 vs 2 0.089 0.016 0.495
coma 1 vs 2 >999.999 <0.001 >999.999
Association of Predicted Probabilities andObserved Responses
Percent Concordant
87.0 Somers' D
0.741
Percent Discordant 13.0 Gamma 0.741
Percent Tied 0.0 Tau-a 0.238
Pairs 6400 c 0.870
The SAS System
The LOGISTIC ProcedureWarning: The validity of the model fit is questionable.
Regression Diagnostics
Ca
seNu
mb
er
Covariates Pearson Residual
Deviance Residual
Hat Matrix Diagonal
StandardizedPearson Residual
StandardizedDeviance
Residual
Likelihood Residual
Interce
pt Df
Beta
age
Df
Beta
can
cer0 Df
Beta
systolic Df
Beta
ad
mit0 Df
Beta
co
ma0 Df
Beta
co
ma1 Df
Beta
Confidence
Interval
Displacement C
Confidence
Interval
DisplacementCBar
Delta Deviance
Delta Chi-Square
age
cancer 0
systolic
admit 0
coma 0
coma 1
1 92.0000
1.0000
124.0
0 1.0000
0 1.1427
1.2926
0.0461
1.1700
1.3235
1.3168
-0.1001
0.2120
-0.00244
-0.00281
-0.0318
0.0423
0.000057
0.0662
0.0631
1.7339
1.3688
2 91.0000
1.0000
64.0000
0 1.0000
0 0.6829
0.8749
0.0832
0.7132
0.9137
0.8988
0.0299
0.1269
-0.0211
-0.1569
-0.0253
0.0313
0.000190
0.0461
0.0423
0.8078
0.5086
3 88.0000
1.0000
141.0
0 1.0000
0 1.4352
1.4956
0.0372
1.4627
1.5242
1.5219
-0.1542
0.2092
0.0149
0.0873
-0.0293
0.0457
-0.00003
0.0827
0.0796
2.3163
2.1394
4 87.000
1.000
80.000
0 1.000
0 0.8501
1.0429
0.0621
0.8778
1.0769
1.0656
0.0172
0.1379
-0.016
-0.147
-0.027
0.0379
0.0001
0.0510
0.0478
1.1356
0.7705
Regression Diagnostics
Ca
seNu
mb
er
Covariates Pearson Resid
Deviance Residu
Hat Matrix Diag
StandardizedPearson Re
StandardizedDeviance
Likelihood Residual
Interce
pt Df
Bet
age
Df
Beta
can
cer0 Df
B
systolic Df
Beta
ad
mit0 Df
Bet
co
ma0 Df
Bet
co
ma1 Df
Bet
Confidence
Interval
Dis
Confidence
Interval
Dis
Delta Deviance
Delta Chi-Squ
age
cancer 0
systolic
admit 0
coma 0
coma 1
0 0 0 0 3 8 6 86
5 85.0000
1.0000
136.0
0 1.0000
0 1.4539
1.5072
0.0304
1.4765
1.5307
1.5291
-0.1298
0.1836
0.0160
0.0625
-0.0276
0.0466
-0.00001
0.0683
0.0662
2.3380
2.1802
6 80.0000
1.0000
100.0
0 1.0000
0 1.1615
1.3069
0.0323
1.1807
1.3286
1.3240
-0.00686
0.1249
-0.00100
-0.1048
-0.0266
0.0461
0.000144
0.0466
0.0451
1.7531
1.3941
7 78.0000
1.0000
130.0
0 1.0000
0 1.5762
1.5801
0.0192
1.5915
1.5954
1.5953
-0.0924
0.1264
0.0233
0.0355
-0.0230
0.0493
7.516E-6
0.0495
0.0485
2.5451
2.5329
8 78.0000
1.0000
110.0
0 1.0000
0 1.3192
1.4199
0.0235
1.3350
1.4369
1.4346
-0.0284
0.1177
0.00811
-0.0654
-0.0251
0.0482
0.000105
0.0429
0.0419
2.0580
1.7821
9 76.0000
1.0000
128.0
0 1.0000
0 1.6089
1.5986
0.0169
1.6226
1.6122
1.6124
-0.0801
0.1091
0.0253
0.0258
-0.0217
0.0500
0.000014
0.0452
0.0445
2.5999
2.6329
Regression Diagnostics
Ca
seNu
mb
er
Covariates Pearson Resid
Deviance Residu
Hat Matrix Diag
StandardizedPearson Re
StandardizedDeviance
Likelihood Residual
Interce
pt Df
Bet
age
Df
Beta
can
cer0 Df
B
systolic Df
Beta
ad
mit0 Df
Bet
co
ma0 Df
Bet
co
ma1 Df
Bet
Confidence
Interval
Dis
Confidence
Interval
Dis
Delta Deviance
Delta Chi-Squ
age
cancer 0
systolic
admit 0
coma 0
coma 1
10
75.0000
0 130.0
1.0000
1.0000
0 3.1196
2.1786
0.0956
3.2804
2.2909
2.4032
0.0579
0.1584
-0.2262
-0.0171
0.7148
-0.0111
-0.00137
1.1380
1.0291
5.7756
10.7611
11
75.0000
1.0000
90.0000
0 0 1.0000
0.000113
0.000160
0.00347
0.000113
0.000160
0.000160
7.943
E-9
3.314E-9
-8.5E-9
-9.48E-9
-1.35E-8
6.48E-10
6.69E-6
4.47E-11
4.46E-11
2.562
E-8
1.283E-8
12
75.0000
0 190.0
0 1.0000
0 0.7771
0.9720
0.2504
0.8975
1.1227
1.0708
0.0803
0.1379
-0.4345
0.1871
-0.2693
-0.00253
0.000341
0.2692
0.2017
1.1465
0.8056
13
75.0000
1.0000
130.0
0 1.0000
0 1.6694
1.6319
0.0159
1.6828
1.6450
1.6456
-0.0844
0.1009
0.0289
0.0379
-0.0205
0.0504
1.271E-6
0.0456
0.0449
2.7081
2.8320
14
75.0000
1.0000
150.0
0 0 0 0.5957
0.7794
0.1502
0.6462
0.8455
0.8186
0.0685
0.0372
0.00306
0.0733
-0.00096
-0.2507
-0.00048
0.0738
0.0627
0.6702
0.4176
15
72.
1.
90.
0 1.
0 1.2
1.3
0.0
1.258
1.385
1.38
0.0
0.0
0.0
-0.
-0.
0.0
0.0
0.051
0.049
1.9
1.5
Regression Diagnostics
Ca
seNu
mb
er
Covariates Pearson Resid
Deviance Residu
Hat Matrix Diag
StandardizedPearson Re
StandardizedDeviance
Likelihood Residual
Interce
pt Df
Bet
age
Df
Beta
can
cer0 Df
B
systolic Df
Beta
ad
mit0 Df
Bet
co
ma0 Df
Bet
co
ma1 Df
Bet
Confidence
Interval
Dis
Confidence
Interval
Dis
Delta Deviance
Delta Chi-Squ
age
cancer 0
systolic
admit 0
coma 0
coma 1
0000
0000
0000
0000
386
637
312
4 5 17 426
691
0364
1539
0232
500
00185
0 4 091
836
16
71.0000
1.0000
142.0
0 1.0000
0 2.0056
1.7966
0.0140
2.0198
1.8093
1.8124
-0.1168
0.0641
0.0480
0.1161
-0.0144
0.0513
-0.00008
0.0580
0.0572
3.2850
4.0795
17
71.0000
1.0000
70.0000
0 0 0 0.3156
0.4358
0.0690
0.3271
0.4516
0.4442
0.0559
0.00950
-0.00583
-0.0348
-0.00245
-0.0767
-0.00009
0.00792
0.00738
0.1973
0.1070
18
70.0000
1.0000
168.0
1.0000
0 1.0000
0.00171
0.00241
0.7910
0.00373
0.00528
0.00410
-4.8
E-7
3.79E-7
1.724E-6
-1.31E-6
3.552E-6
-5.72E-9
0.00726
0.000053
0.000011
0.000017
0.000014
19
69.0000
1.0000
170.0
0 1.0000
0 2.6736
2.0483
0.0203
2.7012
2.0694
2.0842
-0.2247
0.0385
0.0814
0.3164
-0.00464
0.0483
-0.00029
0.1512
0.1481
4.3438
7.2965
20
69.0
1.0
80.0
0 0 0 0.35
0.49
0.07
0.3736
0.5124
0.5028
0.06
0.00
-0.0
-0.0
-0.0
-0.0
-0.0
0.0120
0.0111
0.25
0.13
Regression Diagnostics
Ca
seNu
mb
er
Covariates Pearson Resid
Deviance Residu
Hat Matrix Diag
StandardizedPearson Re
StandardizedDeviance
Likelihood Residual
Interce
pt Df
Bet
age
Df
Beta
can
cer0 Df
B
systolic Df
Beta
ad
mit0 Df
Bet
co
ma0 Df
Bet
co
ma1 Df
Bet
Confidence
Interval
Dis
Confidence
Interval
Dis
Delta Deviance
Delta Chi-Squ
age
cancer 0
systolic
admit 0
coma 0
coma 1
000
000
000
85
17
92
71
843
0567
348
0233
979
0013
28
95
21
67.0000
1.0000
62.0000
0 1.0000
0 1.0625
1.2293
0.0663
1.0995
1.2722
1.2615
0.1185
0.0318
-0.00615
-0.2569
-0.0226
0.0502
0.000280
0.0858
0.0801
1.5913
1.2090
22
65.0000
1.0000
66.0000
0 0 0 0.3417
0.4699
0.0796
0.3561
0.4898
0.4805
0.0704
0.00243
-0.00578
-0.0436
-0.00205
-0.0894
-0.00011
0.0110
0.0101
0.2309
0.1268
23
65.0000
1.0000
104.0
0 0 0 0.4792
0.6429
0.1082
0.5074
0.6808
0.6643
0.0966
0.00162
-0.00285
-0.0209
-0.00103
-0.1674
-0.00026
0.0312
0.0279
0.4412
0.2575
24
64.0000
0 80.0000
0 1.0000
0 0.3604
0.4943
0.1080
0.3816
0.5233
0.5099
0.0864
0.0221
-0.1223
-0.0570
-0.0720
0.00375
0.000191
0.0176
0.0157
0.2600
0.1456
25
63.00
1.00
112.0
0 1.00
0 1.790
1.694
0.012
1.8009
1.7050
1.7062
0.014
-0.01
0.036
-0.05
-0.01
0.055
0.000
0.0394
0.0389
2.911
3.243
Regression Diagnostics
Ca
seNu
mb
er
Covariates Pearson Resid
Deviance Residu
Hat Matrix Diag
StandardizedPearson Re
StandardizedDeviance
Likelihood Residual
Interce
pt Df
Bet
age
Df
Beta
can
cer0 Df
B
systolic Df
Beta
ad
mit0 Df
Bet
co
ma0 Df
Bet
co
ma1 Df
Bet
Confidence
Interval
Dis
Confidence
Interval
Dis
Delta Deviance
Delta Chi-Squ
age
cancer 0
systolic
admit 0
coma 0
coma 1
00
00
00
0 7 0 9 06
2 89
30
5 080
1 1
26
63.0000
1.0000
36.0000
0 0 0 0.2718
0.3776
0.0686
0.2817
0.3913
0.3847
0.0557
0.000470
-0.00562
-0.0448
-0.00189
-0.0575
-0.00005
0.00585
0.00545
0.1480
0.0793
27
61.0000
1.0000
140.0
0 1.0000
0 2.3863
1.9500
0.0102
2.3985
1.9600
1.9649
-0.0755
-0.0428
0.0677
0.1153
-0.00369
0.0539
-0.00010
0.0591
0.0585
3.8610
5.7528
28
60.0000
1.0000
56.0000
0 1.0000
0 1.1518
1.2996
0.0751
1.1976
1.3513
1.3403
0.1645
-0.0200
-0.00096
-0.3039
-0.0197
0.0552
0.000320
0.1164
0.1076
1.7965
1.4343
29
60.0000
1.0000
130.0
0 0 1.0000
0.000215
0.000304
0.0126
0.000217
0.000306
0.000305
2.456
E-8
2.331E-9
-2.77E-8
-2.02E-8
-4.75E-8
1.691E-9
0.000024
5.98E-10
5.9E-10
9.321
E-8
4.69E-8
30
57.000
1.000
110.0
0 0 0 0.5892
0.7720
0.1368
0.6342
0.8309
0.8068
0.1417
-0.029
0.0028
-0.014
0.0025
-0.239
-0.000
0.0638
0.0550
0.6510
0.4022
Regression Diagnostics
Ca
seNu
mb
er
Covariates Pearson Resid
Deviance Residu
Hat Matrix Diag
StandardizedPearson Re
StandardizedDeviance
Likelihood Residual
Interce
pt Df
Bet
age
Df
Beta
can
cer0 Df
B
systolic Df
Beta
ad
mit0 Df
Bet
co
ma0 Df
Bet
co
ma1 Df
Bet
Confidence
Interval
Dis
Confidence
Interval
Dis
Delta Deviance
Delta Chi-Squ
age
cancer 0
systolic
admit 0
coma 0
coma 1
0 0 2 8 9 1 5 39
31
55.0000
1.0000
122.0
0 1.0000
0 2.2808
1.9104
0.0101
2.2924
1.9202
1.9243
0.0133
-0.1025
0.0628
0.00288
-0.00175
0.0575
3.965E-6
0.0537
0.0531
3.7028
5.2550
32
53.0000
1.0000
148.0
0 1.0000
0 2.9869
2.1423
0.0110
3.0034
2.1541
2.1653
-0.0756
-0.1420
0.0945
0.1809
0.00886
0.0539
-0.00018
0.1002
0.0991
4.6885
9.0204
33
51.0000
1.0000
134.0
0 0 1.0000
0.000265
0.000375
0.0191
0.000268
0.000378
0.000377
3.935
E-8
-4.88E-9
-4.06E-8
-2.83E-8
-7.16E-8
2.42E-9
0.000037
1.392E-9
1.365E-9
1.418
E-7
7.157E-8
34
50.0000
0 120.0
0 1.0000
0 0.6729
0.8643
0.1848
0.7453
0.9572
0.9217
0.2181
-0.00908
-0.3363
-0.0516
-0.2008
0.00565
0.000435
0.1259
0.1026
0.8496
0.5554
35
50.0000
1.0000
256.0
0 0 1.0000
0.00080
0.00113
0.1739
0.000880
0.00124
0.00119
3.569
E-8
-9.69E-8
-3.45E-7
4.006E-7
-7.41E-7
-4.23E-9
0.00040
1.63E-7
1.347E-7
1.414
E-6
7.745E-7
Regression Diagnostics
Ca
seNu
mb
er
Covariates Pearson Resid
Deviance Residu
Hat Matrix Diag
StandardizedPearson Re
StandardizedDeviance
Likelihood Residual
Interce
pt Df
Bet
age
Df
Beta
can
cer0 Df
B
systolic Df
Beta
ad
mit0 Df
Bet
co
ma0 Df
Bet
co
ma1 Df
Bet
Confidence
Interval
Dis
Confidence
Interval
Dis
Delta Deviance
Delta Chi-Squ
age
cancer 0
systolic
admit 0
coma 0
coma 1
0 4
36
49.0000
1.0000
140.0
0 1.0000
0 3.0032
2.1469
0.0107
3.0194
2.1585
2.1695
-0.0280
-0.1866
0.0953
0.1289
0.0115
0.0559
-0.00014
0.0990
0.0979
4.7069
9.1170
37
41.0000
1.0000
140.0
0 0 0 1.0455
1.2155
0.2074
1.1744
1.3652
1.3279
0.2804
-0.2080
0.0486
0.1214
0.0272
-0.5361
-0.00105
0.3608
0.2860
1.7633
1.3791
38
40.0000
1.0000
86.0000
0 1.0000
0 2.2068
1.8814
0.0318
2.2427
1.9120
1.9234
0.2031
-0.2588
0.0610
-0.2196
0.00566
0.0667
0.000201
0.1651
0.1599
3.6995
5.0298
39
20.0000
1.0000
148.0
0 1.0000
0 5.6211
2.6398
0.0130
5.6580
2.6571
2.7174
0.0725
-0.5727
0.1723
0.2156
0.0552
0.0548
-0.00029
0.4214
0.4159
7.3844
32.0128
40
19.0000
1.0000
140.0
0 1.0000
0 5.3361
2.6013
0.0141
5.3740
2.6199
2.6783
0.1096
-0.5813
0.1663
0.1571
0.0538
0.0571
-0.00023
0.4123
0.4065
7.1735
28.8804
Regression Diagnostics
Ca
seNu
mb
er
Covariates Pearson Resid
Deviance Residu
Hat Matrix Diag
StandardizedPearson Re
StandardizedDeviance
Likelihood Residual
Interce
pt Df
Bet
age
Df
Beta
can
cer0 Df
B
systolic Df
Beta
ad
mit0 Df
Bet
co
ma0 Df
Bet
co
ma1 Df
Bet
Confidence
Interval
Dis
Confidence
Interval
Dis
Delta Deviance
Delta Chi-Squ
age
cancer 0
systolic
admit 0
coma 0
coma 1
41
91.0000
1.0000
152.0
0 1.0000
0 -0.6692
-0.8603
0.0472
-0.6855
-0.8813
-0.8731
0.0911
-0.1085
-0.00830
-0.0666
0.0138
-0.0202
0.000039
0.0233
0.0222
0.7623
0.4700
42
89.0000
1.0000
190.0
0 0 0 -1.5376
-1.5577
0.2255
-1.7472
-1.7700
-1.7649
0.0100
-0.2607
-0.0171
-0.4790
0.00816
0.7482
0.00166
0.8888
0.6883
3.1147
3.0525
43
88.0000
1.0000
140.0
0 1.0000
0 -0.7030
-0.8962
0.0370
-0.7164
-0.9133
-0.9068
0.0743
-0.1029
-0.00696
-0.0403
0.0145
-0.0225
0.000013
0.0197
0.0190
0.8222
0.5132
44
88.0000
1.0000
110.0
1.0000
1.0000
0 -0.1341
-0.1888
0.0285
-0.1360
-0.1915
-0.1902
0.00806
-0.00313
-0.0125
0.000874
-0.0221
-0.00091
0.000042
0.000543
0.000528
0.0362
0.0185
45
88.0000
1.0000
190.0
0 1.0000
0 -0.4505
-0.6079
0.0553
-0.4635
-0.6255
-0.6176
0.0758
-0.0503
-0.0124
-0.0877
0.00447
-0.00885
0.000074
0.0126
0.0119
0.3815
0.2148
46
87.
1.
11
0 1.
0 -0.
-1.
0.0
-0.9
-1.1
-1.
0.0
-0.
0.0
0.0
0.0
-0.
-0.
0.034
0.032
1.2
0.8
Regression Diagnostics
Ca
seNu
mb
er
Covariates Pearson Resid
Deviance Residu
Hat Matrix Diag
StandardizedPearson Re
StandardizedDeviance
Likelihood Residual
Interce
pt Df
Bet
age
Df
Beta
can
cer0 Df
B
systolic Df
Beta
ad
mit0 Df
Bet
co
ma0 Df
Bet
co
ma1 Df
Bet
Confidence
Interval
Dis
Confidence
Interval
Dis
Delta Deviance
Delta Chi-Squ
age
cancer 0
systolic
admit 0
coma 0
coma 1
0000
0000
0.0
0000
9007
0900
388
187
118
1049
403
1386
0327
495
239
0350
00009
1 8 208
441
47
84.0000
1.0000
100.0
0 1.0000
0 -0.9295
-1.1160
0.0390
-0.9482
-1.1384
-1.1316
0.0148
-0.1265
0.00499
0.0864
0.0244
-0.0376
-0.00012
0.0364
0.0350
1.2805
0.8991
48
83.0000
1.0000
138.0
0 1.0000
0 -0.6502
-0.8398
0.0270
-0.6592
-0.8514
-0.8468
0.0563
-0.0720
-0.00890
-0.0322
0.0110
-0.0201
0.000011
0.0121
0.0117
0.7170
0.4346
49
82.0000
1.0000
135.0
1.0000
1.0000
0 -0.0957
-0.1350
0.0147
-0.0964
-0.1360
-0.1355
0.00478
-0.00079
-0.00669
-0.00131
-0.0114
-0.00038
0.000023
0.000139
0.000137
0.0184
0.00929
50
82.0000
1.0000
130.0
0 1.0000
0 -0.6850
-0.8772
0.0248
-0.6936
-0.8883
-0.8840
0.0478
-0.0739
-0.00768
-0.0152
0.0122
-0.0223
-7.16E-6
0.0123
0.0120
0.7814
0.4811
51
80.0
1.0
162.
0 1.0
0 -0.4
-0.6
0.02
-0.503
-0.672
-0.66
0.05
-0.0
-0.0
-0.0
0.00
-0.0
0.00
0.00757
0.00735
0.44
0.25
Regression Diagnostics
Ca
seNu
mb
er
Covariates Pearson Resid
Deviance Residu
Hat Matrix Diag
StandardizedPearson Re
StandardizedDeviance
Likelihood Residual
Interce
pt Df
Bet
age
Df
Beta
can
cer0 Df
B
systolic Df
Beta
ad
mit0 Df
Bet
co
ma0 Df
Bet
co
ma1 Df
Bet
Confidence
Interval
Dis
Confidence
Interval
Dis
Delta Deviance
Delta Chi-Squ
age
cancer 0
systolic
admit 0
coma 0
coma 1
000
000
0 000
959
631
90
2 9 86 49
382
120
583
476
117
0046
70
32
52
80.0000
1.0000
122.0
0 1.0000
0 -0.7079
-0.9013
0.0225
-0.7160
-0.9116
-0.9077
0.0353
-0.0692
-0.00680
0.00416
0.0127
-0.0241
-0.00003
0.0118
0.0115
0.8239
0.5126
53
79.0000
1.0000
112.0
1.0000
1.0000
0 -0.1108
-0.1563
0.0194
-0.1119
-0.1578
-0.1571
0.00506
-0.00068
-0.00880
0.000341
-0.0152
-0.00060
0.000029
0.000248
0.000243
0.0247
0.0125
54
78.0000
1.0000
180.0
1.0000
1.0000
0 -0.0594
-0.0839
0.00646
-0.0596
-0.0842
-0.0840
0.00243
-0.00006
-0.00276
-0.00170
-0.00444
-0.00009
0.000010
0.000023
0.000023
0.00706
0.00355
55
78.0000
1.0000
126.0
0 1.0000
0 -0.6574
-0.8476
0.0193
-0.6639
-0.8559
-0.8526
0.0340
-0.0539
-0.00867
-0.00583
0.0102
-0.0212
-0.00001
0.00867
0.00850
0.7270
0.4407
56
77.00
1.00
100.0
1.00
1.00
0 -0.11
-0.16
0.022
-0.1201
-0.1692
-0.1682
0.004
-0.00
-0.00
0.001
-0.01
-0.00
0.000
0.000328
0.000321
0.028
0.014
Regression Diagnostics
Ca
seNu
mb
er
Covariates Pearson Resid
Deviance Residu
Hat Matrix Diag
StandardizedPearson Re
StandardizedDeviance
Likelihood Residual
Interce
pt Df
Bet
age
Df
Beta
can
cer0 Df
B
systolic Df
Beta
ad
mit0 Df
Bet
co
ma0 Df
Bet
co
ma1 Df
Bet
Confidence
Interval
Dis
Confidence
Interval
Dis
Delta Deviance
Delta Chi-Squ
age
cancer 0
systolic
admit 0
coma 0
coma 1
00
00
00
00
87
73
3 97
048
999
65
75
074
032
3 4
57
77.0000
1.0000
158.0
1.0000
1.0000
0 -0.0708
-0.1001
0.00851
-0.0711
-0.1005
-0.1003
0.00298
-0.00006
-0.00383
-0.00160
-0.00629
-0.00017
0.000014
0.000043
0.000043
0.0101
0.00506
58
77.0000
0 212.0
1.0000
1.0000
0 -0.1606
-0.2256
0.0366
-0.1636
-0.2299
-0.2278
0.00766
-0.00402
0.00390
-0.0155
-0.0193
0.000971
0.000052
0.00102
0.000979
0.0519
0.0268
59
77.0000
1.0000
136.0
1.0000
1.0000
0 -0.0862
-0.1216
0.0120
-0.0867
-0.1224
-0.1220
0.00373
-0.00015
-0.00551
-0.00114
-0.00926
-0.00030
0.000019
0.000091
0.000090
0.0149
0.00751
60
77.0000
1.0000
170.0
1.0000
1.0000
0 -0.0637
-0.0899
0.00715
-0.0639
-0.0903
-0.0901
0.00261
-0.00003
-0.00314
-0.00166
-0.00510
-0.00012
0.000011
0.000029
0.000029
0.00812
0.00408
61
77.000
1.000
128.0
1.000
1.000
0 -0.092
-0.130
0.0136
-0.0932
-0.1315
-0.1310
0.0040
-0.000
-0.006
-0.000
-0.010
-0.000
0.0000
0.000120
0.000118
0.0172
0.0086
Regression Diagnostics
Ca
seNu
mb
er
Covariates Pearson Resid
Deviance Residu
Hat Matrix Diag
StandardizedPearson Re
StandardizedDeviance
Likelihood Residual
Interce
pt Df
Bet
age
Df
Beta
can
cer0 Df
B
systolic Df
Beta
ad
mit0 Df
Bet
co
ma0 Df
Bet
co
ma1 Df
Bet
Confidence
Interval
Dis
Confidence
Interval
Dis
Delta Deviance
Delta Chi-Squ
age
cancer 0
systolic
admit 0
coma 0
coma 1
0 0 0 0 5 6 1 20
29
80
7 37
21
8
62
76.0000
1.0000
110.0
0 1.0000
0 -0.7295
-0.9238
0.0210
-0.7373
-0.9337
-0.9300
0.0121
-0.0550
-0.00596
0.0353
0.0127
-0.0262
-0.00006
0.0117
0.0114
0.8649
0.5436
63
76.0000
1.0000
190.0
0 1.0000
0 -0.3580
-0.4911
0.0333
-0.3641
-0.4995
-0.4955
0.0432
-0.0148
-0.0112
-0.0586
0.000954
-0.00567
0.000053
0.00457
0.00442
0.2456
0.1326
64
76.0000
1.0000
92.0000
0 1.0000
0 -0.8563
-1.0488
0.0336
-0.8710
-1.0668
-1.0609
-0.0179
-0.0707
0.000381
0.1024
0.0184
-0.0349
-0.00013
0.0263
0.0255
1.1254
0.7587
65
75.0000
1.0000
100.0
1.0000
1.0000
0 -0.1142
-0.1610
0.0207
-0.1154
-0.1627
-0.1619
0.00447
-0.00010
-0.00931
0.00151
-0.0162
-0.00068
0.000030
0.000281
0.000275
0.0262
0.0133
66
75.0000
1.0000
140.0
0 1.0000
0 -0.5480
-0.7247
0.0168
-0.5527
-0.7309
-0.7282
0.0363
-0.0309
-0.0114
-0.0295
0.00564
-0.0151
0.00001
0.00523
0.00514
0.5303
0.3054
Regression Diagnostics
Ca
seNu
mb
er
Covariates Pearson Resid
Deviance Residu
Hat Matrix Diag
StandardizedPearson Re
StandardizedDeviance
Likelihood Residual
Interce
pt Df
Bet
age
Df
Beta
can
cer0 Df
B
systolic Df
Beta
ad
mit0 Df
Bet
co
ma0 Df
Bet
co
ma1 Df
Bet
Confidence
Interval
Dis
Confidence
Interval
Dis
Delta Deviance
Delta Chi-Squ
age
cancer 0
systolic
admit 0
coma 0
coma 1
7
67
75.0000
1.0000
144.0
0 1.0000
0 -0.5288
-0.7023
0.0176
-0.5336
-0.7085
-0.7058
0.0381
-0.0289
-0.0116
-0.0346
0.00503
-0.0140
0.000023
0.00511
0.00502
0.4982
0.2847
68
74.0000
1.0000
170.0
1.0000
1.0000
0 -0.0601
-0.0849
0.00638
-0.0603
-0.0852
-0.0851
0.00227
0.000111
-0.00282
-0.00148
-0.00456
-0.00011
0.000010
0.000023
0.000023
0.00724
0.00364
69
74.0000
1.0000
174.0
1.0000
1.0000
0 -0.0580
-0.0820
0.00603
-0.0582
-0.0822
-0.0821
0.00217
0.000108
-0.00264
-0.00148
-0.00425
-0.00009
9.552E-6
0.000021
0.000020
0.00674
0.00339
70
73.0000
0 134.0
1.0000
1.0000
0 -0.2977
-0.4121
0.0841
-0.3111
-0.4306
-0.4219
-0.00449
-0.0116
0.0193
-0.00126
-0.0637
0.00112
0.000124
0.00888
0.00814
0.1780
0.0968
71
73.0000
1.0000
170.0
1.0000
1.0000
0 -0.0590
-0.0833
0.00615
-0.0592
-0.0836
-0.0835
0.00217
0.000152
-0.00272
-0.00143
-0.00439
-0.00010
9.776E-6
0.000022
0.000022
0.00696
0.00350
Regression Diagnostics
Ca
seNu
mb
er
Covariates Pearson Resid
Deviance Residu
Hat Matrix Diag
StandardizedPearson Re
StandardizedDeviance
Likelihood Residual
Interce
pt Df
Bet
age
Df
Beta
can
cer0 Df
B
systolic Df
Beta
ad
mit0 Df
Bet
co
ma0 Df
Bet
co
ma1 Df
Bet
Confidence
Interval
Dis
Confidence
Interval
Dis
Delta Deviance
Delta Chi-Squ
age
cancer 0
systolic
admit 0
coma 0
coma 1
72
73.0000
1.0000
130.0
0 1.0000
0 -0.5765
-0.7575
0.0141
-0.5806
-0.7629
-0.7607
0.0261
-0.0276
-0.0109
-0.0131
0.00624
-0.0170
1.027E-6
0.00482
0.00475
0.5786
0.3371
73
73.0000
1.0000
162.0
0 1.0000
0 -0.4336
-0.5870
0.0210
-0.4382
-0.5933
-0.5904
0.0383
-0.0158
-0.0120
-0.0471
0.00220
-0.00921
0.000040
0.00411
0.00403
0.3486
0.1920
74
72.0000
1.0000
120.0
1.0000
1.0000
0 -0.0903
-0.1274
0.0129
-0.0909
-0.1282
-0.1278
0.00335
0.000315
-0.00601
-0.00030
-0.0102
-0.00037
0.000020
0.000108
0.000107
0.0163
0.00826
75
72.0000
1.0000
130.0
0 1.0000
0 -0.5655
-0.7450
0.0133
-0.5693
-0.7500
-0.7479
0.0242
-0.0236
-0.0111
-0.0129
0.00571
-0.0165
1.704E-6
0.00438
0.00432
0.5593
0.3242
76
72.0000
1.0000
126.0
1.0000
1.0000
0 -0.0856
-0.1208
0.0117
-0.0861
-0.1215
-0.1212
0.00319
0.000299
-0.00544
-0.00060
-0.00916
-0.00032
0.000018
0.000088
0.000087
0.0147
0.00741
77
72.0
1.0
134.
0 1.0
0 -0.5
-0.7
0.01
-0.549
-0.727
-0.72
0.02
-0.0
-0.0
-0.0
0.00
-0.0
8.66
0.00415
0.00409
0.52
0.30
Regression Diagnostics
Ca
seNu
mb
er
Covariates Pearson Resid
Deviance Residu
Hat Matrix Diag
StandardizedPearson Re
StandardizedDeviance
Likelihood Residual
Interce
pt Df
Bet
age
Df
Beta
can
cer0 Df
B
systolic Df
Beta
ad
mit0 Df
Bet
co
ma0 Df
Bet
co
ma1 Df
Bet
Confidence
Interval
Dis
Confidence
Interval
Dis
Delta Deviance
Delta Chi-Squ
age
cancer 0
systolic
admit 0
coma 0
coma 1
000
000
0 000
458
221
36
5 0 49 68
220
114
192
509
153
1E-6
55
20
78
71.0000
1.0000
124.0
0 1.0000
0 -0.5852
-0.7675
0.0128
-0.5890
-0.7725
-0.7704
0.0178
-0.0221
-0.0107
-0.00216
0.00618
-0.0178
-9.2E-6
0.00451
0.00445
0.5935
0.3470
79
71.0000
1.0000
148.0
0 1.0000
0 -0.4727
-0.6351
0.0153
-0.4764
-0.6400
-0.6378
0.0313
-0.0142
-0.0120
-0.0348
0.00289
-0.0114
0.000027
0.00353
0.00348
0.4068
0.2269
80
71.0000
0 204.0
1.0000
1.0000
0 -0.1537
-0.2161
0.0317
-0.1562
-0.2196
-0.2178
0.00552
-0.00189
0.00344
-0.0128
-0.0177
0.000841
0.000046
0.000799
0.000774
0.0475
0.0244
81
71.0000
1.0000
124.0
0 1.0000
0 -0.5852
-0.7675
0.0128
-0.5890
-0.7725
-0.7704
0.0178
-0.0221
-0.0107
-0.00216
0.00618
-0.0178
-9.2E-6
0.00451
0.00445
0.5935
0.3470
82
70.000
0 138.0
1.000
1.000
0 -0.271
-0.376
0.0713
-0.2815
-0.3910
-0.3842
-0.003
-0.006
0.0153
-0.003
-0.053
0.0010
0.0001
0.00609
0.00565
0.1476
0.0792
Regression Diagnostics
Ca
seNu
mb
er
Covariates Pearson Resid
Deviance Residu
Hat Matrix Diag
StandardizedPearson Re
StandardizedDeviance
Likelihood Residual
Interce
pt Df
Bet
age
Df
Beta
can
cer0 Df
B
systolic Df
Beta
ad
mit0 Df
Bet
co
ma0 Df
Bet
co
ma1 Df
Bet
Confidence
Interval
Dis
Confidence
Interval
Dis
Delta Deviance
Delta Chi-Squ
age
cancer 0
systolic
admit 0
coma 0
coma 1
0 0 0 3 8 55
67
39
3 5 06
83
70.0000
1.0000
86.0000
0 1.0000
0 -0.8052
-0.9997
0.0337
-0.8191
-1.0170
-1.0110
-0.0384
-0.0351
-0.00254
0.1119
0.0145
-0.0330
-0.00013
0.0234
0.0226
1.0220
0.6709
84
70.0000
1.0000
160.0
1.0000
1.0000
0 -0.0609
-0.0860
0.00636
-0.0611
-0.0863
-0.0861
0.00210
0.000292
-0.00289
-0.00125
-0.00468
-0.00012
0.000010
0.000024
0.000024
0.00742
0.00373
85
70.0000
1.0000
78.0000
0 1.0000
0 -0.8646
-1.0566
0.0434
-0.8840
-1.0803
-1.0725
-0.0571
-0.0398
0.000725
0.1497
0.0172
-0.0374
-0.00017
0.0355
0.0340
1.1503
0.7814
86
70.0000
1.0000
90.0000
0 1.0000
0 -0.7770
-0.9719
0.0295
-0.7887
-0.9866
-0.9813
-0.0301
-0.0329
-0.00394
0.0951
0.0133
-0.0309
-0.00011
0.0189
0.0183
0.9630
0.6221
87
69.0000
1.0000
110.0
0 1.0000
0 -0.6380
-0.8264
0.0150
-0.6428
-0.8326
-0.8301
0.00026
-0.0190
-0.0093
0.0279
0.00762
-0.0215
-0.0000
0.00627
0.00618
0.6891
0.4132
Regression Diagnostics
Ca
seNu
mb
er
Covariates Pearson Resid
Deviance Residu
Hat Matrix Diag
StandardizedPearson Re
StandardizedDeviance
Likelihood Residual
Interce
pt Df
Bet
age
Df
Beta
can
cer0 Df
B
systolic Df
Beta
ad
mit0 Df
Bet
co
ma0 Df
Bet
co
ma1 Df
Bet
Confidence
Interval
Dis
Confidence
Interval
Dis
Delta Deviance
Delta Chi-Squ
age
cancer 0
systolic
admit 0
coma 0
coma 1
9 9 4
88
69.0000
1.0000
132.0
0 1.0000
0 -0.5245
-0.6972
0.0116
-0.5276
-0.7013
-0.6995
0.0202
-0.0124
-0.0117
-0.0151
0.00400
-0.0144
6.707E-6
0.00327
0.00323
0.4893
0.2784
89
69.0000
1.0000
170.0
1.0000
1.0000
0 -0.0546
-0.0772
0.00530
-0.0548
-0.0774
-0.0773
0.00180
0.000285
-0.00236
-0.00123
-0.00378
-0.00009
8.418E-6
0.000016
0.000016
0.00597
0.00300
90
69.0000
1.0000
150.0
0 1.0000
0 -0.4469
-0.6035
0.0146
-0.4502
-0.6079
-0.6059
0.0283
-0.00847
-0.0120
-0.0344
0.00204
-0.0102
0.000028
0.00301
0.00296
0.3671
0.2027
91
69.0000
1.0000
169.0
0 1.0000
0 -0.3774
-0.5160
0.0200
-0.3812
-0.5213
-0.5188
0.0314
-0.00551
-0.0114
-0.0440
0.000703
-0.00690
0.000040
0.00297
0.00291
0.2692
0.1453
92
68.0000
1.0000
158.0
1.0000
1.0000
0 -0.0596
-0.0842
0.00609
-0.0598
-0.0845
-0.0844
0.00195
0.000370
-0.00278
-0.00115
-0.00450
-0.00012
9.719E-6
0.000022
0.000022
0.00712
0.00358
9 6 1 1 1 1 0 - - 0. - - - 0. 0. - - - - 0. 0.0 0.0 0. 0.
Regression Diagnostics
Ca
seNu
mb
er
Covariates Pearson Resid
Deviance Residu
Hat Matrix Diag
StandardizedPearson Re
StandardizedDeviance
Likelihood Residual
Interce
pt Df
Bet
age
Df
Beta
can
cer0 Df
B
systolic Df
Beta
ad
mit0 Df
Bet
co
ma0 Df
Bet
co
ma1 Df
Bet
Confidence
Interval
Dis
Confidence
Interval
Dis
Delta Deviance
Delta Chi-Squ
age
cancer 0
systolic
admit 0
coma 0
coma 1
3 8.0000
.0000
42.0
.0000
.0000
0.0687
0.0971
00778
0.0690
0.0975
0.0973
00228
000465
0.00362
0.00096
0.00596
0.00018
000012
00037
00037
00947
00476
94
68.0000
1.0000
200.0
0 1.0000
0 -0.2809
-0.3898
0.0269
-0.2848
-0.3951
-0.3926
0.0279
-0.00144
-0.00921
-0.0435
-0.00050
-0.00332
0.000041
0.00224
0.00218
0.1541
0.0811
95
68.0000
1.0000
154.0
1.0000
1.0000
0 -0.0618
-0.0873
0.00646
-0.0620
-0.0876
-0.0874
0.00203
0.000392
-0.00297
-0.00112
-0.00482
-0.00013
0.000010
0.000025
0.000025
0.00764
0.00384
96
68.0000
1.0000
112.0
1.0000
1.0000
0 -0.0898
-0.1267
0.0129
-0.0904
-0.1275
-0.1271
0.00289
0.000707
-0.00595
0.000167
-0.0101
-0.00038
0.000019
0.000106
0.000105
0.0162
0.00817
97
68.0000
0 91.0000
1.0000
1.0000
0 -0.3966
-0.5406
0.1414
-0.4280
-0.5834
-0.5640
-0.0401
-0.0129
0.0394
0.0481
-0.1123
-0.00010
0.000172
0.0302
0.0259
0.3181
0.1832
98
67.
1.
19
0 1.
0 -0.
-0.
0.0
-0.3
-0.4
-0.
0.0
-0.
-0.
-0.
-0.
-0.
0.0
0.002
0.002
0.1
0.0
Regression Diagnostics
Ca
seNu
mb
er
Covariates Pearson Resid
Deviance Residu
Hat Matrix Diag
StandardizedPearson Re
StandardizedDeviance
Likelihood Residual
Interce
pt Df
Bet
age
Df
Beta
can
cer0 Df
B
systolic Df
Beta
ad
mit0 Df
Bet
co
ma0 Df
Bet
co
ma1 Df
Bet
Confidence
Interval
Dis
Confidence
Interval
Dis
Delta Deviance
Delta Chi-Squ
age
cancer 0
systolic
admit 0
coma 0
coma 1
0000
0000
0.0
0000
3013
4168
241
050
219
4195
277
00084
00979
0430
00039
00403
00041
29 24 760
930
99
67.0000
1.0000
90.0000
1.0000
1.0000
0 -0.1071
-0.1511
0.0186
-0.1081
-0.1525
-0.1518
0.00301
0.00107
-0.00827
0.00213
-0.0143
-0.00063
0.000026
0.000221
0.000217
0.0230
0.0117
100
67.0000
1.0000
120.0
0 1.0000
0 -0.5617
-0.7406
0.0112
-0.5649
-0.7448
-0.7430
0.00802
-0.00851
-0.0112
0.00462
0.00477
-0.0169
-0.00001
0.00363
0.00359
0.5520
0.3191
101
67.0000
1.0000
152.0
1.0000
1.0000
0 -0.0617
-0.0872
0.00642
-0.0619
-0.0875
-0.0873
0.00198
0.000438
-0.00296
-0.00106
-0.00481
-0.00013
0.000010
0.000025
0.000025
0.00762
0.00383
102
66.0000
1.0000
160.0
1.0000
1.0000
0 -0.0564
-0.0797
0.00549
-0.0565
-0.0799
-0.0798
0.00174
0.000416
-0.00250
-0.00108
-0.00403
-0.00010
8.752E-6
0.000018
0.000018
0.00636
0.00319
103
66.0
1.0
206.
0 1.0
0 -0.2
-0.3
0.02
-0.259
-0.361
-0.35
0.02
0.00
-0.0
-0.0
-0.0
-0.0
0.00
0.00180
0.00176
0.12
0.06
Regression Diagnostics
Ca
seNu
mb
er
Covariates Pearson Resid
Deviance Residu
Hat Matrix Diag
StandardizedPearson Re
StandardizedDeviance
Likelihood Residual
Interce
pt Df
Bet
age
Df
Beta
can
cer0 Df
B
systolic Df
Beta
ad
mit0 Df
Bet
co
ma0 Df
Bet
co
ma1 Df
Bet
Confidence
Interval
Dis
Confidence
Interval
Dis
Delta Deviance
Delta Chi-Squ
age
cancer 0
systolic
admit 0
coma 0
coma 1
000
000
0 000
563
567
60
7 5 92 45
0559
0840
395
0073
0266
0038
90
75
104
66.0000
1.0000
170.0
0 1.0000
0 -0.3531
-0.4848
0.0184
-0.3564
-0.4893
-0.4872
0.0267
-0.00047
-0.0110
-0.0401
0.000108
-0.00606
0.000037
0.00238
0.00234
0.2374
0.1270
105
66.0000
0 150.0
1.0000
1.0000
0 -0.2258
-0.3154
0.0520
-0.2319
-0.3239
-0.3198
-0.00088
-0.00175
0.00954
-0.00706
-0.0375
0.000946
0.000079
0.00295
0.00280
0.1022
0.0538
106
66.0000
1.0000
139.0
1.0000
1.0000
0 -0.0680
-0.0960
0.00759
-0.0682
-0.0964
-0.0962
0.00213
0.000569
-0.00354
-0.00084
-0.00583
-0.00018
0.000012
0.000036
0.000035
0.00925
0.00465
107
65.0000
1.0000
208.0
1.0000
1.0000
0 -0.0361
-0.0510
0.00275
-0.0361
-0.0511
-0.0510
0.000967
0.000209
-0.00109
-0.00091
-0.00167
-0.00002
4.059E-6
3.594E-6
3.584E-6
0.00260
0.00130
108
65.00
1.00
100.0
0 1.00
0 -0.64
-0.83
0.018
-0.6519
-0.8428
-0.8397
-0.01
-0.00
-0.00
0.050
0.007
-0.02
-0.00
0.00793
0.00778
0.705
0.425
Regression Diagnostics
Ca
seNu
mb
er
Covariates Pearson Resid
Deviance Residu
Hat Matrix Diag
StandardizedPearson Re
StandardizedDeviance
Likelihood Residual
Interce
pt Df
Bet
age
Df
Beta
can
cer0 Df
B
systolic Df
Beta
ad
mit0 Df
Bet
co
ma0 Df
Bet
co
ma1 Df
Bet
Confidence
Interval
Dis
Confidence
Interval
Dis
Delta Deviance
Delta Chi-Squ
age
cancer 0
systolic
admit 0
coma 0
coma 1
00
00
00
59
51
3 79
492
924
1 12
28
006
1 0
109
64.0000
1.0000
158.0
0 1.0000
0 -0.3782
-0.5170
0.0144
-0.3809
-0.5208
-0.5190
0.0225
0.00221
-0.0114
-0.0339
0.000291
-0.00727
0.000031
0.00212
0.00209
0.2694
0.1451
110
64.0000
1.0000
160.0
1.0000
1.0000
0 -0.0542
-0.0767
0.00511
-0.0544
-0.0769
-0.0768
0.00159
0.000461
-0.00233
-0.00100
-0.00374
-0.00009
8.122E-6
0.000015
0.000015
0.00589
0.00296
111
64.0000
1.0000
162.0
0 1.0000
0 -0.3649
-0.5000
0.0154
-0.3678
-0.5039
-0.5021
0.0231
0.00225
-0.0112
-0.0354
0.000108
-0.00668
0.000032
0.00211
0.00208
0.2521
0.1353
112
64.0000
1.0000
126.0
0 1.0000
0 -0.5027
-0.6713
0.00981
-0.5052
-0.6747
-0.6732
0.00893
0.00120
-0.0119
-0.00564
0.00272
-0.0138
-6.31E-8
0.00253
0.00250
0.4532
0.2553
113
64.000
0 116.0
1.000
1.000
0 -0.294
-0.407
0.0821
-0.3070
-0.4251
-0.4167
-0.014
-0.001
0.0187
0.0099
-0.062
0.0006
0.0001
0.00842
0.00773
0.1736
0.0942
Regression Diagnostics
Ca
seNu
mb
er
Covariates Pearson Resid
Deviance Residu
Hat Matrix Diag
StandardizedPearson Re
StandardizedDeviance
Likelihood Residual
Interce
pt Df
Bet
age
Df
Beta
can
cer0 Df
B
systolic Df
Beta
ad
mit0 Df
Bet
co
ma0 Df
Bet
co
ma1 Df
Bet
Confidence
Interval
Dis
Confidence
Interval
Dis
Delta Deviance
Delta Chi-Squ
age
cancer 0
systolic
admit 0
coma 0
coma 1
0 0 0 1 3 6 79
5 7 75
12
114
63.0000
1.0000
104.0
1.0000
1.0000
0 -0.0876
-0.1236
0.0124
-0.0881
-0.1244
-0.1240
0.00231
0.00115
-0.00569
0.000596
-0.00964
-0.00038
0.000018
0.000098
0.000096
0.0154
0.00777
115
63.0000
1.0000
132.0
0 1.0000
0 -0.4676
-0.6288
0.00968
-0.4698
-0.6319
-0.6305
0.0116
0.00380
-0.0121
-0.0132
0.00179
-0.0119
8.695E-6
0.00216
0.00214
0.3976
0.2208
116
63.0000
1.0000
162.0
0 1.0000
0 -0.3580
-0.4911
0.0150
-0.3607
-0.4948
-0.4931
0.0218
0.00367
-0.0111
-0.0343
-0.00006
-0.00645
0.000032
0.00198
0.00195
0.2431
0.1301
117
62.0000
1.0000
200.0
1.0000
1.0000
0 -0.0366
-0.0517
0.00273
-0.0366
-0.0518
-0.0517
0.000931
0.000263
-0.00112
-0.00086
-0.00172
-0.00002
4.102E-6
3.678E-6
3.668E-6
0.00268
0.00134
118
62.0000
1.0000
110.0
0 1.0000
0 -0.5579
-0.7362
0.0125
-0.5614
-0.7408
-0.7389
-0.00778
0.00625
-0.0113
0.0218
0.00386
-0.0174
-0.00003
0.00400
0.00395
0.5459
0.3152
Regression Diagnostics
Ca
seNu
mb
er
Covariates Pearson Resid
Deviance Residu
Hat Matrix Diag
StandardizedPearson Re
StandardizedDeviance
Likelihood Residual
Interce
pt Df
Bet
age
Df
Beta
can
cer0 Df
B
systolic Df
Beta
ad
mit0 Df
Bet
co
ma0 Df
Bet
co
ma1 Df
Bet
Confidence
Interval
Dis
Confidence
Interval
Dis
Delta Deviance
Delta Chi-Squ
age
cancer 0
systolic
admit 0
coma 0
coma 1
119
61.0000
1.0000
174.0
0 1.0000
0 -0.3096
-0.4279
0.0170
-0.3123
-0.4316
-0.4299
0.0204
0.00552
-0.00998
-0.0346
-0.00066
-0.00461
0.000033
0.00169
0.00166
0.1848
0.0975
120
61.0000
1.0000
110.0
0 1.0000
0 -0.5473
-0.7239
0.0124
-0.5507
-0.7284
-0.7265
-0.00867
0.00909
-0.0115
0.0210
0.00342
-0.0169
-0.00003
0.00382
0.00377
0.5278
0.3033
121
61.0000
1.0000
68.0000
0 1.0000
0 -0.7954
-0.9901
0.0534
-0.8175
-1.0177
-1.0080
-0.0868
0.00976
-0.00330
0.1653
0.0120
-0.0351
-0.00018
0.0377
0.0357
1.0160
0.6683
122
60.0000
1.0000
114.0
0 1.0000
0 -0.5181
-0.6897
0.0111
-0.5211
-0.6935
-0.6918
-0.00540
0.0114
-0.0119
0.0127
0.00254
-0.0152
-0.00002
0.00306
0.00303
0.4786
0.2715
123
60.0000
0 110.0
1.0000
1.0000
0 -0.2873
-0.3983
0.0798
-0.2995
-0.4152
-0.4072
-0.0176
0.00240
0.0176
0.0130
-0.0603
0.000521
0.000104
0.00778
0.00716
0.1658
0.0897
1 6 1 1 0 1 0 - - 0. - - - 0. 0. - - 0. - - 0.0 0.0 0. 0.
Regression Diagnostics
Ca
seNu
mb
er
Covariates Pearson Resid
Deviance Residu
Hat Matrix Diag
StandardizedPearson Re
StandardizedDeviance
Likelihood Residual
Interce
pt Df
Bet
age
Df
Beta
can
cer0 Df
B
systolic Df
Beta
ad
mit0 Df
Bet
co
ma0 Df
Bet
co
ma1 Df
Bet
Confidence
Interval
Dis
Confidence
Interval
Dis
Delta Deviance
Delta Chi-Squ
age
cancer 0
systolic
admit 0
coma 0
coma 1
24
0.0000
.0000
24.0
.0000
0.4740
0.6367
00951
0.4763
0.6397
0.6384
00305
0105
0.0121
0.00282
00156
0.0126
7.29E-7
0218
0216
4075
2269
125
60.0000
1.0000
116.0
0 1.0000
0 -0.5090
-0.6788
0.0107
-0.5117
-0.6824
-0.6808
-0.00351
0.0112
-0.0119
0.00927
0.00233
-0.0146
-0.00001
0.00282
0.00279
0.4636
0.2619
126
60.0000
1.0000
108.0
0 1.0000
0 -0.5466
-0.7230
0.0131
-0.5502
-0.7278
-0.7258
-0.0117
0.0119
-0.0115
0.0243
0.00325
-0.0170
-0.00003
0.00403
0.00398
0.5267
0.3027
127
59.0000
1.0000
112.0
0 1.0000
0 -0.5174
-0.6888
0.0117
-0.5205
-0.6929
-0.6911
-0.00819
0.0140
-0.0119
0.0158
0.00238
-0.0153
-0.00002
0.00321
0.00318
0.4776
0.2709
128
59.0000
1.0000
48.0000
0 0 0 -3.0622
-2.1631
0.0847
-3.2008
-2.2611
-2.3553
-0.7142
0.0491
0.0549
0.5080
0.0157
0.7723
0.000829
0.9485
0.8681
5.5473
10.2451
12
59.
1.
10
0 1.
0 -0.
-0.
0.0
-0.5
-0.7
-0.
-0.
0.0
-0.
0.0
0.0
-0.
-0.
0.005
0.005
0.5
0.3
Regression Diagnostics
Ca
seNu
mb
er
Covariates Pearson Resid
Deviance Residu
Hat Matrix Diag
StandardizedPearson Re
StandardizedDeviance
Likelihood Residual
Interce
pt Df
Bet
age
Df
Beta
can
cer0 Df
B
systolic Df
Beta
ad
mit0 Df
Bet
co
ma0 Df
Bet
co
ma1 Df
Bet
Confidence
Interval
Dis
Confidence
Interval
Dis
Delta Deviance
Delta Chi-Squ
age
cancer 0
systolic
admit 0
coma 0
coma 1
9 0000
0000
0.0
0000
5758
7567
171
807
633
7605
0224
155
0111
414
0388
0191
00005
88 78 784
373
130
58.0000
1.0000
154.0
0 1.0000
0 -0.3493
-0.4798
0.0121
-0.3514
-0.4828
-0.4814
0.0145
0.0103
-0.0109
-0.0265
-0.00053
-0.00638
0.000025
0.00151
0.00149
0.2317
0.1235
131
58.0000
1.0000
148.0
0 1.0000
0 -0.3685
-0.5046
0.0111
-0.3705
-0.5074
-0.5061
0.0129
0.0111
-0.0113
-0.0237
-0.00033
-0.00723
0.000022
0.00154
0.00152
0.2561
0.1373
132
57.0000
1.0000
128.0
0 1.0000
0 -0.4319
-0.5849
0.00945
-0.4339
-0.5876
-0.5864
0.00299
0.0154
-0.0120
-0.00746
0.000446
-0.0105
5.553E-6
0.00180
0.00178
0.3438
0.1883
133
55.0000
1.0000
188.0
1.0000
1.0000
0 -0.0356
-0.0503
0.00251
-0.0356
-0.0504
-0.0503
0.000775
0.000359
-0.00106
-0.00070
-0.00164
-0.00003
3.793E-6
3.193E-6
3.185E-6
0.00253
0.00127
134
55.0
1.0
140.
1.0
1.0
0 -0.0
-0.0
0.00
-0.054
-0.077
-0.07
0.00
0.00
-0.0
-0.0
-0.0
-0.0
7.83
0.00001
0.00001
0.00
0.00
Regression Diagnostics
Ca
seNu
mb
er
Covariates Pearson Resid
Deviance Residu
Hat Matrix Diag
StandardizedPearson Re
StandardizedDeviance
Likelihood Residual
Interce
pt Df
Bet
age
Df
Beta
can
cer0 Df
B
systolic Df
Beta
ad
mit0 Df
Bet
co
ma0 Df
Bet
co
ma1 Df
Bet
Confidence
Interval
Dis
Confidence
Interval
Dis
Delta Deviance
Delta Chi-Squ
age
cancer 0
systolic
admit 0
coma 0
coma 1
000
000
0 000
000
546
771
508
7 3 72 123
0792
0236
0059
0380
0011
8E-6
5 5 596
299
135
55.0000
1.0000
128.0
1.0000
1.0000
0 -0.0607
-0.0858
0.00618
-0.0609
-0.0860
-0.0859
0.00133
0.000965
-0.00287
-0.00040
-0.00469
-0.00015
9.372E-6
0.000023
0.000023
0.00738
0.00371
136
55.0000
1.0000
132.0
0 1.0000
0 -0.4011
-0.5462
0.00965
-0.4031
-0.5489
-0.5477
0.00364
0.0174
-0.0117
-0.0109
-0.00019
-0.00905
9.942E-6
0.00158
0.00157
0.2999
0.1625
137
55.0000
1.0000
190.0
0 1.0000
0 -0.2394
-0.3338
0.0172
-0.2415
-0.3368
-0.3353
0.0148
0.00802
-0.00777
-0.0282
-0.00118
-0.00254
0.000028
0.00102
0.00101
0.1125
0.0583
138
55.0000
1.0000
110.0
0 1.0000
0 -0.4879
-0.6535
0.0128
-0.4910
-0.6577
-0.6558
-0.0128
0.0227
-0.0121
0.0168
0.00121
-0.0140
-0.00002
0.00312
0.00308
0.4301
0.2411
139
55.00
0 138.0
1.00
1.00
0 -0.20
-0.28
0.042
-0.2080
-0.2912
-0.2881
-0.00
0.004
0.007
-0.00
-0.03
0.000
0.000
0.00193
0.00185
0.083
0.043
Regression Diagnostics
Ca
seNu
mb
er
Covariates Pearson Resid
Deviance Residu
Hat Matrix Diag
StandardizedPearson Re
StandardizedDeviance
Likelihood Residual
Interce
pt Df
Bet
age
Df
Beta
can
cer0 Df
B
systolic Df
Beta
ad
mit0 Df
Bet
co
ma0 Df
Bet
co
ma1 Df
Bet
Confidence
Interval
Dis
Confidence
Interval
Dis
Delta Deviance
Delta Chi-Squ
age
cancer 0
systolic
admit 0
coma 0
coma 1
00
00
00
35
49
8 496
31
24
229
09
657
062
0 3
140
54.0000
1.0000
142.0
0 1.0000
0 -0.3600
-0.4937
0.0103
-0.3619
-0.4962
-0.4950
0.00729
0.0164
-0.0111
-0.0178
-0.00073
-0.00711
0.000017
0.00137
0.00135
0.2451
0.1309
141
54.0000
1.0000
136.0
1.0000
1.0000
0 -0.0555
-0.0784
0.00523
-0.0556
-0.0786
-0.0785
0.00120
0.000854
-0.00243
-0.00052
-0.00393
-0.00012
8.016E-6
0.000016
0.000016
0.00616
0.00309
142
53.0000
1.0000
110.0
1.0000
1.0000
0 -0.0686
-0.0969
0.00788
-0.0688
-0.0972
-0.0970
0.00131
0.00132
-0.00361
0.000124
-0.00597
-0.00022
0.000011
0.000038
0.000037
0.00942
0.00474
143
53.0000
1.0000
170.0
0 1.0000
0 -0.2753
-0.3822
0.0140
-0.2772
-0.3849
-0.3836
0.0125
0.0117
-0.00897
-0.0260
-0.00124
-0.00373
0.000026
0.00109
0.00108
0.1472
0.0768
144
52.000
1.000
150.0
1.000
1.000
0 -0.047
-0.066
0.0039
-0.0472
-0.0667
-0.0667
0.0009
0.0006
-0.001
-0.000
-0.002
-0.000
6.032E
8.773E-6
8.739E-6
0.0044
0.0022
Regression Diagnostics
Ca
seNu
mb
er
Covariates Pearson Resid
Deviance Residu
Hat Matrix Diag
StandardizedPearson Re
StandardizedDeviance
Likelihood Residual
Interce
pt Df
Bet
age
Df
Beta
can
cer0 Df
B
systolic Df
Beta
ad
mit0 Df
Bet
co
ma0 Df
Bet
co
ma1 Df
Bet
Confidence
Interval
Dis
Confidence
Interval
Dis
Delta Deviance
Delta Chi-Squ
age
cancer 0
systolic
admit 0
coma 0
coma 1
0 0 0 0 1 6 2 76
85
79
61
85
07
-6 4 3
145
51.0000
1.0000
110.0
0 1.0000
0 -0.4519
-0.6096
0.0136
-0.4550
-0.6138
-0.6119
-0.0146
0.0289
-0.0122
0.0144
0.000100
-0.0123
-0.00001
0.00286
0.00283
0.3744
0.2070
146
50.0000
1.0000
156.0
0 1.0000
0 -0.2944
-0.4077
0.0119
-0.2961
-0.4101
-0.4090
0.00825
0.0160
-0.00955
-0.0210
-0.00135
-0.00455
0.000022
0.00106
0.00105
0.1673
0.0877
147
49.0000
1.0000
112.0
0 1.0000
0 -0.4272
-0.5790
0.0136
-0.4301
-0.5830
-0.5812
-0.0134
0.0305
-0.0121
0.0106
-0.00046
-0.0110
-9.88E-6
0.00255
0.00251
0.3378
0.1850
148
49.0000
1.0000
150.0
0 1.0000
0 -0.3046
-0.4213
0.0114
-0.3064
-0.4237
-0.4226
0.00622
0.0179
-0.00984
-0.0186
-0.00138
-0.00500
0.000019
0.00108
0.00107
0.1786
0.0939
149
48.0000
0 162.0
1.0000
1.0000
0 -0.1437
-0.2022
0.0238
-0.1455
-0.2047
-0.2035
-0.0010
0.00421
0.00281
-0.0049
-0.0158
0.00050
0.00003
0.000516
0.000504
0.0414
0.0212
Regression Diagnostics
Ca
seNu
mb
er
Covariates Pearson Resid
Deviance Residu
Hat Matrix Diag
StandardizedPearson Re
StandardizedDeviance
Likelihood Residual
Interce
pt Df
Bet
age
Df
Beta
can
cer0 Df
B
systolic Df
Beta
ad
mit0 Df
Bet
co
ma0 Df
Bet
co
ma1 Df
Bet
Confidence
Interval
Dis
Confidence
Interval
Dis
Delta Deviance
Delta Chi-Squ
age
cancer 0
systolic
admit 0
coma 0
coma 1
9 5 3 5
150
48.0000
1.0000
92.0000
0 1.0000
0 -0.5007
-0.6689
0.0243
-0.5069
-0.6772
-0.6736
-0.0357
0.0412
-0.0123
0.0445
0.000531
-0.0158
-0.00004
0.00640
0.00625
0.4537
0.2570
151
48.0000
1.0000
128.0
0 1.0000
0 -0.3635
-0.4982
0.0111
-0.3655
-0.5010
-0.4997
-0.00283
0.0252
-0.0112
-0.00621
-0.00116
-0.00769
7.188E-6
0.00150
0.00148
0.2497
0.1336
152
47.0000
0 120.0
1.0000
1.0000
0 -0.2049
-0.2868
0.0446
-0.2096
-0.2934
-0.2902
-0.00981
0.00847
0.00737
0.00313
-0.0316
0.000459
0.000058
0.00205
0.00196
0.0842
0.0439
153
47.0000
1.0000
132.0
0 1.0000
0 -0.3441
-0.4731
0.0111
-0.3460
-0.4757
-0.4745
-0.00129
0.0244
-0.0108
-0.00890
-0.00136
-0.00683
0.000010
0.00134
0.00133
0.2251
0.1197
154
47.0000
1.0000
156.0
0 1.0000
0 -0.2779
-0.3858
0.0119
-0.2796
-0.3881
-0.3870
0.00638
0.0172
-0.00906
-0.0190
-0.00152
-0.00407
0.000020
0.000944
0.000933
0.1497
0.0782
Regression Diagnostics
Ca
seNu
mb
er
Covariates Pearson Resid
Deviance Residu
Hat Matrix Diag
StandardizedPearson Re
StandardizedDeviance
Likelihood Residual
Interce
pt Df
Bet
age
Df
Beta
can
cer0 Df
B
systolic Df
Beta
ad
mit0 Df
Bet
co
ma0 Df
Bet
co
ma1 Df
Bet
Confidence
Interval
Dis
Confidence
Interval
Dis
Delta Deviance
Delta Chi-Squ
age
cancer 0
systolic
admit 0
coma 0
coma 1
155
46.0000
0 132.0
0 1.0000
0 -1.2371
-1.3626
0.2034
-1.3860
-1.5267
-1.4991
-0.4095
0.0606
0.6523
0.0325
0.3913
-0.00796
-0.00079
0.4904
0.3907
2.2474
1.9211
156
46.0000
0 110.0
1.0000
1.0000
0 -0.2197
-0.3071
0.0517
-0.2256
-0.3153
-0.3113
-0.0135
0.0102
0.00886
0.00721
-0.0363
0.000378
0.000063
0.00277
0.00263
0.0969
0.0509
157
46.0000
1.0000
142.0
0 1.0000
0 -0.3088
-0.4268
0.0112
-0.3106
-0.4293
-0.4281
0.00219
0.0215
-0.00997
-0.0140
-0.00154
-0.00533
0.000015
0.00110
0.00109
0.1833
0.0965
158
45.0000
1.0000
126.0
0 1.0000
0 -0.3493
-0.4799
0.0120
-0.3515
-0.4828
-0.4814
-0.00513
0.0277
-0.0110
-0.00435
-0.00148
-0.00721
5.99E-6
0.00151
0.00149
0.2318
0.1235
159
45.0000
1.0000
132.0
0 1.0000
0 -0.3312
-0.4562
0.0116
-0.3331
-0.4589
-0.4576
-0.00216
0.0254
-0.0106
-0.00844
-0.00155
-0.00636
9.983E-6
0.00130
0.00128
0.2094
0.1110
1 4 1 1 0 1 0 - - 0. - - - - 0. - - - - 3. 0.0 0.0 0. 0.
Regression Diagnostics
Ca
seNu
mb
er
Covariates Pearson Resid
Deviance Residu
Hat Matrix Diag
StandardizedPearson Re
StandardizedDeviance
Likelihood Residual
Interce
pt Df
Bet
age
Df
Beta
can
cer0 Df
B
systolic Df
Beta
ad
mit0 Df
Bet
co
ma0 Df
Bet
co
ma1 Df
Bet
Confidence
Interval
Dis
Confidence
Interval
Dis
Delta Deviance
Delta Chi-Squ
age
cancer 0
systolic
admit 0
coma 0
coma 1
60
2.0000
.0000
22.0
.0000
0.3418
0.4701
0135
0.3441
0.4733
0.4717
0.00822
0307
0.0108
0.00122
0.00172
0.00705
473E-6
0162
0159
2225
1184
161
41.0000
1.0000
118.0
0 1.0000
0 -0.3474
-0.4774
0.0146
-0.3500
-0.4809
-0.4793
-0.0108
0.0329
-0.0110
0.00194
-0.00178
-0.00740
5.848E-7
0.00181
0.00178
0.2297
0.1225
162
41.0000
1.0000
110.0
0 1.0000
0 -0.3731
-0.5105
0.0169
-0.3763
-0.5149
-0.5129
-0.0164
0.0370
-0.0115
0.00964
-0.00168
-0.00873
-6.86E-6
0.00243
0.00239
0.2630
0.1416
163
40.0000
1.0000
140.0
0 1.0000
0 -0.2802
-0.3888
0.0122
-0.2820
-0.3912
-0.3901
-0.00089
0.0237
-0.00916
-0.0109
-0.00186
-0.00446
0.000013
0.000983
0.000971
0.1522
0.0795
164
40.0000
1.0000
130.0
0 1.0000
0 -0.3063
-0.4235
0.0129
-0.3083
-0.4263
-0.4250
-0.00467
0.0276
-0.00994
-0.00630
-0.00190
-0.00554
8.612E-6
0.00124
0.00123
0.1806
0.0951
16
40.
1.
16
0 1.
0 -0.
-0.
0.0
-0.2
-0.3
-0.
0.0
0.0
-0.
-0.
-0.
-0.
0.0
0.000
0.000
0.1
0.0
Regression Diagnostics
Ca
seNu
mb
er
Covariates Pearson Resid
Deviance Residu
Hat Matrix Diag
StandardizedPearson Re
StandardizedDeviance
Likelihood Residual
Interce
pt Df
Bet
age
Df
Beta
can
cer0 Df
B
systolic Df
Beta
ad
mit0 Df
Bet
co
ma0 Df
Bet
co
ma1 Df
Bet
Confidence
Interval
Dis
Confidence
Interval
Dis
Delta Deviance
Delta Chi-Squ
age
cancer 0
systolic
admit 0
coma 0
coma 1
5 0000
0000
0.0
0000
2345
3273
122
360
293
3283
0377
174
00760
0157
00170
00285
00017
689
680
078
557
166
36.0000
1.0000
224.0
0 1.0000
0 -0.1229
-0.1732
0.0117
-0.1236
-0.1742
-0.1737
0.00480
0.00608
-0.00324
-0.0117
-0.00090
-0.00050
0.000012
0.000181
0.000179
0.0302
0.0153
167
35.0000
1.0000
108.0
0 1.0000
0 -0.3385
-0.4658
0.0195
-0.3419
-0.4705
-0.4683
-0.0177
0.0393
-0.0109
0.00931
-0.00223
-0.00736
-5.57E-6
0.00233
0.00229
0.2193
0.1169
168
35.0000
1.0000
150.0
0 1.0000
0 -0.2330
-0.3251
0.0124
-0.2344
-0.3271
-0.3262
0.000306
0.0203
-0.00755
-0.0117
-0.00187
-0.00296
0.000014
0.000692
0.000683
0.1064
0.0550
169
34.0000
1.0000
110.0
0 1.0000
0 -0.3262
-0.4498
0.0191
-0.3294
-0.4541
-0.4521
-0.0162
0.0381
-0.0106
0.00718
-0.00229
-0.00681
-3.44E-6
0.00211
0.00207
0.2044
0.1085
170
32.0
1.0
120.
0 1.0
0 -0.2
-0.3
0.01
-0.289
-0.401
-0.39
-0.0
0.03
-0.0
-0.0
-0.0
-0.0
3.59
0.00141
0.00139
0.16
0.08
Regression Diagnostics
Ca
seNu
mb
er
Covariates Pearson Resid
Deviance Residu
Hat Matrix Diag
StandardizedPearson Re
StandardizedDeviance
Likelihood Residual
Interce
pt Df
Bet
age
Df
Beta
can
cer0 Df
B
systolic Df
Beta
ad
mit0 Df
Bet
co
ma0 Df
Bet
co
ma1 Df
Bet
Confidence
Interval
Dis
Confidence
Interval
Dis
Delta Deviance
Delta Chi-Squ
age
cancer 0
systolic
admit 0
coma 0
coma 1
000
000
0 000
872
982
65
7 5 99 103
24
0945
0022
0230
0512
7E-6
00
39
171
32.0000
1.0000
110.0
0 1.0000
0 -0.3140
-0.4336
0.0196
-0.3171
-0.4380
-0.4359
-0.0160
0.0379
-0.0103
0.00658
-0.00240
-0.00634
-2.68E-6
0.00201
0.00197
0.1900
0.1006
172
31.0000
0 146.0
0 1.0000
0 -0.8193
-1.0135
0.2219
-0.9289
-1.1490
-1.1040
-0.2852
0.1440
0.4197
-0.0368
0.2527
-0.00227
-0.00046
0.2461
0.1915
1.2187
0.8628
173
30.0000
1.0000
144.0
0 1.0000
0 -0.2233
-0.3119
0.0132
-0.2248
-0.3140
-0.3130
-0.00206
0.0218
-0.00721
-0.00882
-0.00196
-0.00280
0.000011
0.000674
0.000665
0.0980
0.0505
174
28.0000
1.0000
122.0
1.0000
1.0000
0 -0.0382
-0.0540
0.00288
-0.0382
-0.0540
-0.0540
0.000303
0.000888
-0.00121
-0.00012
-0.00190
-0.00006
3.749E-6
4.224E-6
4.212E-6
0.00292
0.00146
175
27.00
1.00
142.0
0 1.00
0 -0.21
-0.30
0.013
-0.2161
-0.3021
-0.3011
-0.00
0.021
-0.00
-0.00
-0.00
-0.00
0.000
0.000642
0.000633
0.090
0.046
Regression Diagnostics
Ca
seNu
mb
er
Covariates Pearson Resid
Deviance Residu
Hat Matrix Diag
StandardizedPearson Re
StandardizedDeviance
Likelihood Residual
Interce
pt Df
Bet
age
Df
Beta
can
cer0 Df
B
systolic Df
Beta
ad
mit0 Df
Bet
co
ma0 Df
Bet
co
ma1 Df
Bet
Confidence
Interval
Dis
Confidence
Interval
Dis
Delta Deviance
Delta Chi-Squ
age
cancer 0
systolic
admit 0
coma 0
coma 1
00
00
00
46
01
6 292
9 689
760
198
261
010
7 7
176
25.0000
1.0000
131.0
0 1.0000
0 -0.2278
-0.3180
0.0153
-0.2295
-0.3205
-0.3193
-0.00605
0.0257
-0.00741
-0.00448
-0.00217
-0.00309
7.506E-6
0.000820
0.000807
0.1020
0.0527
177
24.0000
1.0000
140.0
0 1.0000
0 -0.2062
-0.2886
0.0140
-0.2077
-0.2907
-0.2897
-0.00365
0.0219
-0.00658
-0.00651
-0.00198
-0.00243
9.14E-6
0.000611
0.000602
0.0839
0.0431
178
23.0000
1.0000
112.0
0 1.0000
0 -0.2596
-0.3611
0.0206
-0.2623
-0.3649
-0.3631
-0.0135
0.0343
-0.00861
0.00331
-0.00255
-0.00436
7.578E-7
0.00145
0.00142
0.1318
0.0688
179
23.0000
1.0000
144.0
0 1.0000
0 -0.1953
-0.2736
0.0135
-0.1966
-0.2754
-0.2745
-0.00284
0.0202
-0.00614
-0.00699
-0.00188
-0.00214
9.457E-6
0.000528
0.000521
0.0754
0.0386
180
23.000
1.000
120.0
0 1.000
0 -0.241
-0.337
0.0180
-0.2440
-0.3401
-0.3386
-0.009
0.0300
-0.007
-0.000
-0.002
-0.003
4.067E
0.00109
0.00107
0.1147
0.0595
Regression Diagnostics
Ca
seNu
mb
er
Covariates Pearson Resid
Deviance Residu
Hat Matrix Diag
StandardizedPearson Re
StandardizedDeviance
Likelihood Residual
Interce
pt Df
Bet
age
Df
Beta
can
cer0 Df
B
systolic Df
Beta
ad
mit0 Df
Bet
co
ma0 Df
Bet
co
ma1 Df
Bet
Confidence
Interval
Dis
Confidence
Interval
Dis
Delta Deviance
Delta Chi-Squ
age
cancer 0
systolic
admit 0
coma 0
coma 1
0 0 0 7 0 91
95
47
38
66
-6
181
23.0000
1.0000
130.0
0 1.0000
0 -0.2212
-0.3090
0.0157
-0.2229
-0.3115
-0.3103
-0.00637
0.0255
-0.00717
-0.00394
-0.00217
-0.00293
7.014E-6
0.000792
0.000779
0.0963
0.0497
182
21.0000
1.0000
120.0
0 1.0000
0 -0.2327
-0.3247
0.0182
-0.2348
-0.3277
-0.3262
-0.00971
0.0293
-0.00762
-0.00050
-0.00236
-0.00339
4.084E-6
0.00102
0.00100
0.1064
0.0551
183
21.0000
1.0000
110.0
0 1.0000
0 -0.2543
-0.3540
0.0216
-0.2571
-0.3579
-0.3560
-0.0141
0.0346
-0.00844
0.00404
-0.00259
-0.00423
1.472E-7
0.00146
0.00143
0.1268
0.0661
184
21.0000
1.0000
142.0
0 1.0000
0 -0.1913
-0.2681
0.0138
-0.1926
-0.2700
-0.2690
-0.00337
0.0203
-0.00599
-0.00623
-0.00189
-0.00207
8.757E-6
0.000518
0.000511
0.0724
0.0371
185
20.0000
1.0000
164.0
0 1.0000
0 -0.1543
-0.2169
0.0114
-0.1552
-0.2182
-0.2176
-0.0001
0.0139
-0.0045
-0.0079
-0.0014
-0.0011
9.741E-6
0.000279
0.000275
0.0473
0.0241
Regression Diagnostics
Ca
seNu
mb
er
Covariates Pearson Resid
Deviance Residu
Hat Matrix Diag
StandardizedPearson Re
StandardizedDeviance
Likelihood Residual
Interce
pt Df
Bet
age
Df
Beta
can
cer0 Df
B
systolic Df
Beta
ad
mit0 Df
Bet
co
ma0 Df
Bet
co
ma1 Df
Bet
Confidence
Interval
Dis
Confidence
Interval
Dis
Delta Deviance
Delta Chi-Squ
age
cancer 0
systolic
admit 0
coma 0
coma 1
7 0 8 5 9
186
20.0000
1.0000
120.0
0 1.0000
0 -0.2282
-0.3187
0.0183
-0.2304
-0.3217
-0.3202
-0.00961
0.0289
-0.00746
-0.00052
-0.00235
-0.00327
4.084E-6
0.000989
0.000971
0.1025
0.0531
187
20.0000
1.0000
120.0
0 1.0000
0 -0.2282
-0.3187
0.0183
-0.2304
-0.3217
-0.3202
-0.00961
0.0289
-0.00746
-0.00052
-0.00235
-0.00327
4.084E-6
0.000989
0.000971
0.1025
0.0531
188
20.0000
1.0000
104.0
0 1.0000
0 -0.2632
-0.3660
0.0243
-0.2664
-0.3705
-0.3683
-0.0171
0.0377
-0.00878
0.00725
-0.00272
-0.00464
-2.67E-6
0.00177
0.00172
0.1357
0.0710
189
19.0000
1.0000
142.0
0 1.0000
0 -0.1841
-0.2582
0.0138
-0.1854
-0.2600
-0.2591
-0.00344
0.0197
-0.00571
-0.00583
-0.00185
-0.00191
8.324E-6
0.000480
0.000473
0.0671
0.0344
190
19.0000
1.0000
104.0
1.0000
1.0000
0 -0.0377
-0.0533
0.00303
-0.0378
-0.0534
-0.0533
0.000128
0.00102
-0.00119
0.000071
-0.00187
-0.00006
3.501E-6
4.329E-6
4.316E-6
0.00285
0.00143
Regression Diagnostics
Ca
seNu
mb
er
Covariates Pearson Resid
Deviance Residu
Hat Matrix Diag
StandardizedPearson Re
StandardizedDeviance
Likelihood Residual
Interce
pt Df
Bet
age
Df
Beta
can
cer0 Df
B
systolic Df
Beta
ad
mit0 Df
Bet
co
ma0 Df
Bet
co
ma1 Df
Bet
Confidence
Interval
Dis
Confidence
Interval
Dis
Delta Deviance
Delta Chi-Squ
age
cancer 0
systolic
admit 0
coma 0
coma 1
191
19.0000
1.0000
100.0
0 1.0000
0 -0.2675
-0.3718
0.0264
-0.2711
-0.3768
-0.3744
-0.0191
0.0397
-0.00895
0.00950
-0.00281
-0.00488
-4.64E-6
0.00199
0.00194
0.1402
0.0735
192
18.0000
1.0000
146.0
0 1.0000
0 -0.1743
-0.2446
0.0132
-0.1754
-0.2463
-0.2455
-0.00274
0.0182
-0.00531
-0.00615
-0.00174
-0.00168
8.472E-6
0.000412
0.000406
0.0603
0.0308
193
18.0000
0 156.0
1.0000
1.0000
0 -0.0853
-0.1205
0.0107
-0.0858
-0.1211
-0.1208
-0.00161
0.00430
0.000559
-0.00155
-0.00586
0.000187
0.000013
0.000079
0.000079
0.0146
0.00736
194
18.0000
1.0000
112.0
0 1.0000
0 -0.2359
-0.3291
0.0210
-0.2384
-0.3326
-0.3309
-0.0126
0.0321
-0.00777
0.00260
-0.00251
-0.00361
1.408E-6
0.00122
0.00120
0.1095
0.0568
195
18.0000
0 130.0
1.0000
1.0000
0 -0.1075
-0.1517
0.0163
-0.1084
-0.1529
-0.1523
-0.00382
0.00674
0.00119
-0.00022
-0.00922
0.000200
0.000018
0.000195
0.000192
0.0232
0.0118
1 1 1 1 0 1 0 - - 0. - - - - 0. - - - - 7. 0.0 0.0 0. 0.
Regression Diagnostics
Ca
seNu
mb
er
Covariates Pearson Resid
Deviance Residu
Hat Matrix Diag
StandardizedPearson Re
StandardizedDeviance
Likelihood Residual
Interce
pt Df
Bet
age
Df
Beta
can
cer0 Df
B
systolic Df
Beta
ad
mit0 Df
Bet
co
ma0 Df
Bet
co
ma1 Df
Bet
Confidence
Interval
Dis
Confidence
Interval
Dis
Delta Deviance
Delta Chi-Squ
age
cancer 0
systolic
admit 0
coma 0
coma 1
96
7.0000
.0000
40.0
.0000
0.1804
0.2530
0141
0.1816
0.2548
0.2539
0.00388
0198
0.00556
0.00516
0.00184
0.00185
702E-6
00470
00464
0645
0330
197
17.0000
1.0000
130.0
0 1.0000
0 -0.1971
-0.2762
0.0159
-0.1987
-0.2784
-0.2773
-0.00620
0.0234
-0.00624
-0.00330
-0.00206
-0.00233
6.285E-6
0.000639
0.000629
0.0769
0.0395
198
17.0000
1.0000
136.0
0 1.0000
0 -0.1869
-0.2620
0.0147
-0.1883
-0.2640
-0.2630
-0.00473
0.0212
-0.00583
-0.00451
-0.00193
-0.00203
7.22E-6
0.000530
0.000523
0.0692
0.0355
199
16.0000
1.0000
104.0
0 1.0000
0 -0.2438
-0.3398
0.0245
-0.2468
-0.3440
-0.3419
-0.0159
0.0356
-0.00810
0.00614
-0.00268
-0.00399
-1.65E-6
0.00153
0.00149
0.1169
0.0609
200
16.0000
1.0000
100.0
0 1.0000
0 -0.2526
-0.3517
0.0265
-0.2560
-0.3565
-0.3542
-0.0180
0.0380
-0.00844
0.00842
-0.00279
-0.00436
-3.63E-6
0.00178
0.00173
0.1254
0.0655
