Sample Size Calculator Case-Control Study
Based on odds ratio precision
Data Input: (Help) (Example)
Input
Results
α
P1
P2
n
OR
N
£`
Variables
Descriptions
£\
Probability of type I error
Probability of exposure for people with the disease (Cases)
Probability of exposure for people without the disease (Controls)
Odds Ratio
Odds ratio precision
Sample size for each exposure group
Required total sample size
Help Aids Top
Application: This procedure is used to determine what sample size is needed to estimate the OR to within £` of OR with probability 1-£\.
Procedure:
a) Value of £\, the two-sided confidence level
b) Probability of exposure for people without the disease (Controls)
c) Odds Ratio
d) Odds ratio precision
a) The probability of exposure for people with the disease (cases) and the sample size
Formulae:
Top
Examples
Example 1: What sample size would be needed in each of two groups for a case-control study to be 95% confident of estimating the population odds ratio to within 25% of the true value if this true value is 2.0, and the exposure rate among the controls is estimated to be 0.30?
P2 = 0.30
P1=(OR)*P2/[(OR)*P2+(1-P2)] = 0.4615
OR=2.0; £`=0.25
n = (1.96)2 * {[(1/(0.46*0.54))+1/(0.3*0.7)]}/[ln(1-0.25)]2= 408
Therefore, 408 subjects is required for each of the case-control group, which makes a total of 816 participants needed to be recruited.
Example 2: Using the above example, what should the minimum sample size be if we want the estimate to be within 50% of the true odds ratio?
OR=2.0; £`=0.50
n = (1.96)2 * {[(1/(0.46*0.54))+1/(0.3*0.7)]}/[ln(1-0.50)]2= 71
Therefore, 71 subjects is required for each of the case-control group, which makes a total of 142 participants needed to be recruited.
Lwanga, S.K. and Lemeshow, S. Sample size determination in health studies: A practical manual. WHO, 1991. Print.