2011.5.22 1 medical statistics medical statistics tao yuchun tao yuchun practice 2
TRANSCRIPT
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Medical StatisticsMedical Statistics
Tao YuchunTao Yuchun
Practice 2Practice 2
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Review Review
1.1. centrosymmetric
2.2. μ — position parameter
I.I. Normal Distribution Normal Distribution
• character
•The center is μ .
•Determine location of the peak (center) for a
normal distribution.
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3.3. σ — shape parameter
•Determine shape of a normal curve.
•A normal distribution with μ and σ denoted
with . ),( 2N
4.4. The area under the curve
•The area under the curve is probability.•The area of certain range under the curve is:
•μ±1.96σ 95%•μ±2.58σ 99%
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• Standard Normal Distribution
)1,0(~ NX
Z
• A normal distribution with μ=0 and σ=1
denoted with . )1,0(N
II.II. Reference RangeReference Range
• definition • steps of establishment
In health-related fields, a reference range (or reference values or interval) is a set of
values of some measurement that a physician or other health professional can use to
interpret a set of results for a particular patient. It is determined by collecting data
from vast numbers of laboratory tests. ----From Wikipedia, the free encyclopedia
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• Statistical methods
(1)(1) For normal distributed data -- normalFor normal distributed data -- normal
Two sides (1-α)range:
One side (1-α)range:
SZXXSZX 2/2/
SZXX SZXX or
58.2,96.1 2/01.02/05.0 ZZ•Two sides:
•One side: 33.2,65.1 01.005.0 ZZ
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(2)(2) For skew distributed data -- percentilesFor skew distributed data -- percentiles
Two sides (1-0.05)range:
One side (1-0.05)range:5.975.2 PXP
5PX 95PX or
•Two sides or one side according to professional knowledge.
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III. III. Estimation of population parameterEstimation of population parameter
• Sampling error is related to the variation of
the population.
• Sampling error is also related to sample size.
1.1. The sampling error and standard
error of mean
•Sampling errorSampling error
2.2. The distribution of sample mean
•Central Limit Theorem
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),(~ 2XNX
3.3. Standard error
n
SSX
S is estimation of σ, is estimation of .XS X
4. 4. t distribution
nS
X
S
Xt
X /
Standard error of mean
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• character
(1)(1) centrosymmetric
(2)(2) ν — shape parameter
•The center is 0 .
•Determine shape of a t curve.•When ν is increasing, t curve is close to
standard normal curve.
(3)(3) the area under t curve — t Table
α is probability, ν is degree of freedom, ν = n-1. ,t
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5.5. Confidence Interval of Population Mean
Statistical
inference
Estimation
parameter
Hypothesis testing
point estimation
interval estimation
Point estimation of population mean
-- sample mean
Interval estimation of population mean
-- (1-α) confidence interval Confidence level: 1-α, such as 95% or 99%.
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•The formula of (1-(1-αα) confidence interval of ) confidence interval of population meanpopulation mean for two sides is:
XStX ,2/
came from the Table of t distribution. ,2/t
Distinguish Reference RangeReference Range from Confidence IntervalConfidence Interval
Distinguish Standard Deviation Standard Deviation from
Standard ErrorStandard Error You can see this table
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IV. Hypothesis testingIV. Hypothesis testing
1.1. The idea and steps of Hypothesis testing
(1)(1) The idea
• Null hypothesisNull hypothesis and Alternative hypothesisAlternative hypothesis
• PP-value -value and α α ((level of a test))
• A small-probability eventA small-probability event
• One-sided test One-sided test or Two-sided testTwo-sided test
• Test statistic Test statistic and its DistributionDistribution
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A.A. Set hypotheses and the level of testSet hypotheses and the level of test
B.B. Select an appropriate test and calculate Select an appropriate test and calculate
the test statisticthe test statistic
C.C. Determine Determine PP-value, and make decision -value, and make decision
(2)(2) The steps
• IfIf P P ≤ ≤αα ,, then reject then reject HH0 0 at significance levelat significance level
αα=0.05.=0.05.
• IfIf P P >> αα ,, then accept then accept HH0 0 at significance levelat significance level
αα=0.05.=0.05.
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2. 2. t tests (part)
(1)(1) Comparing to a given population mean
( One-sample t test)H0: μ = μ0
H1: μ≠ μ0
α= 0.05
)(~0 t
nS
X
S
Xt
X
• When t ≥ tα,ν , then P ≤ α , reject H0 ;
• When t < tα,ν , then P > α , accept H0 .
• tα,ν came from the Table of t distribution.
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Excel’s statistical method Excel’s statistical method • You can use Excel’s statistical function
TINV(Probability,Deg_freedom) TINV(Probability,Deg_freedom) to get tα,ν,
here Probability is α , Deg_freedom is ν
(degree of freedom). It is for two sides.• You can use the t-test method of the macro
of statistical analysis tools.
•See the example [stat1(English).xls updatedupdated]
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Practice in class Practice in class Exercise 1Exercise 1: the blood-glucose(mmol/L) values from
12 randomly selected patients.
5.31, 6.12, 6.53, 6.53, 6.65, 6.66, 6.71, 6.93, 7.05,
7.15, 7.21, 7.35
Please to infer the population mean of the patients is
whether greater than or equal the standard value 6.1?
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Exercise 2Exercise 2: the frequency table of latent period (day)
from 110 certain infectious disease patients. Please
estimate the 95% Reference Range.
(1) (2)
2~ 26 26 23.644~ 48 74 67.276~ 25 99 90.008~ 6 105 95.45
10~ 3 108 98.1812~14 2 110 100.00
total 110 - -
(4)=(3)/n
tab2 the frequency table of latent period (day) from some infectious disease patients
latentperiod
CumulativeFrequency(∑ f )frequency(f )
CumulativeFrequency(%)
(3)
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Answer Answer
•See the Excel file (practice2key.xls)
Exercise 3Exercise 3: the RBC of 144 healthy male adults,
got sample mean and SD: mean= 55.32×1012/L, SD
= 0.44×1012/L. Please estimate the 95% Reference Range and 95% CI.
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HomeworkHomework 1.1. The content (mg/L) of CaCo3 within a material was independently measured 15 times, resulting in:
20.99, 20.41, 20.62, 20.75, 20.10, 20.00, 20.80,
20.91, 22.60, 22.30, 20.99, 20.41, 20.50, 23.00,
22.60.
Please check whether the true value was
20.7mg/L ?
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CC
2.2. The temperature (℃ ) for 102 female students
from certain college resulting in:
sample mean= 37.06 ℃, SD= 0.198 ℃
Please estimate the 95% Reference Range and 99%
CI?
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