estor: Sample size for estimation of Odds Ratio with specified...

In samplesizeestimator: Calculate Sample Size for Various Scenarios

Sample size for estimation of Odds Ratio with specified precision

Description

Odds ratios are estimated in a case-control study design to assess the association of outcome with past exposure. This function estimates the sample size needed to estimate the true odds ratio with specified precision.

Usage

estor(p0, or, alp, prec, k)

Arguments

p0	Probability of exposure among the controls
or	Anticipated Odds Ratio (OR)
alp	level of significance or probability of claiming the association exists when in fact there is no association
prec	Precision desired on either side of OR
k	the number of controls for each case

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

estor(p0 = 0.35, or = 2, alp = 0.05, prec = 0.25, k = 1)

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