testor: Sample size for testing Odds Ratio

In samplesizeestimator: Calculate Sample Size for Various Scenarios

Sample size for testing Odds Ratio

Description

When we try to associate multiple exposures to an outcome, we need to caluclate the odds ratio (OR) of a particular exposure in the presence of other exposures and test their relative importance in the model using a significance test based on OR. This function computes sample size based on testing OR for a case-control study design

Usage

testor(p0, or, alp, pwr, k)

Arguments

p0	Probability of exposure among the controls
or	Anticipated Odds Ratio
alp	Probability of type I error
pwr	Desired level of power
k	ratio of number of cases to controls to cases

Value

a list object, the required minimum sample size along with description for reporting

Author(s)

R. Amala, Scientist-C, ICMR-VCRC, Puducherry & G. Kumarapandiyan, Asst. Prof., Madras Christian College, Chennai

References

Lwanga, S. K., Lemeshow, S., & World Health Organization. (1991). Sample size determination in health studies: a practical manual. World Health Organization.

Examples

testor(p0=0.042,or=2.5,alp=0.05,pwr=0.8,k=1)

samplesizeestimator documentation built on Oct. 11, 2023, 1:06 a.m.