Sample size for logistic regression detecting a target odds ratio

Uses the formula from Hsieh et al. (1998): $$n = \frac{(z_{\alpha/2} + z_\beta)^2}{p_1(1-p_1) [\log(OR)]^2}$$

Usage

morie_sample_size_logistic(p0, or, alpha = 0.05, power = 0.8, two_sided = TRUE)

Arguments

p0

Prevalence under control.

or

Target odds ratio.

alpha

Significance level.

power

Desired power.

two_sided

Logical.

Value

Integer sample size.

References

Hsieh FY, Bloch DA, Larsen MD (1998). A simple method of sample size calculation for linear and logistic regression. Statistics in Medicine, 17(14):1623-1634.

Examples

# See the package vignettes for usage examples:
#   vignette(package = "rmorie")