Skip to contents

Computes the sample size required to estimate an odds ratio with desired confidence interval precision.

Usage

size.ci.oddsratio(alpha, p1, p2, or, r)

Arguments

alpha

alpha level for 1 - alpha confidence

p1

planning value for row 1 marginal proportion

p2

planning value for column 1 marginal proportion

or

planning value of odds ratio

r

desired upper to lower confidence interval endpoint ratio

Value

Returns the required sample size

Examples

size.ci.oddsratio(.05, .3, .2, 5.5, 3.0)
#>  Sample size
#>          356

# Should return:
#  Sample size
#          356