epi hw week 2
DESCRIPTION
HWTRANSCRIPT
Sneh Ringwala
Intermediate Epidemiology
Week 2
A. Starting N = 20; Maximum duration of follow up = 24 months
MonthsOutcomeProbability of DeathProbability of SurvivalSurvival Function
2Death0.05(20-1)/20 = 0.9500.95
4Censored
7Censored
8Death0.06(17-1)/17 = 0.9410.95 * 0.941 = 0.894
12Censored
15Death0.067(15-1)/15 = 0.9330.893 * 0.933 = 0.834
17Death0.071(14-1)/14 = 0.9290.83 * 0.929 = 0.775
19Death0.077(13-1)/13 = 0.9230.771 * 0.923 = 0.715
20Censored
23Death0.091(11-1)/11 = 0.9090.712 * 0.909 = 0.650
B. 0.650 or 65%
C. Attached
D. 1 - (6 participant deaths / 20 participants) = 0.7 or 70%
E. The survival function accounts for duration of follow-up.
F.
Total months of observation = 2 + 4 + 7 + 8 + 12 + 15 + 17 + 19 + 20 + 23 + (10 * 24) = 367 months or 30.58 years
Deaths / Time = 6 / 30.58 years * 100 years = 19.6 death rate per 100 person years
G.
Year One
Total months of observation = 2 + 4 + 7 + 8 + (12 * 16) = 213 months or 17.75 years
Deaths / Time = 2 / 17.75 years * 100 years = 11.3 death rate per 100 person years
Year TwoTotal months of observation = 367 months 213 months = 154 months or 12.83 years
Deaths / Time = 4 / 12.83 years * 100 years = 31.2 death rate per 100 person years
H. The year one and year two rates are different. Reporting them separately may provide insight that the combined two-year rate does not provide.
I. Survival analysis assumes that the event rate for the censored participants is the same as the participants that were followed for the duration of the study.
J.
Proportion dying = 6 / 20 = 0.3
Odds of death = 6 / 14 = 0.43
K. The numbers are different because the event rate is high in these twenty participants.