Precision Based Sample Size Calculation
Sample size or precision for a mean
Presize shiny app
Sample size or precision for AUC
Sample size or precision for correlation coefficient
Sample size or precision for Cronbach's alpha
Sample size or precision for an intraclass correlation
Sample size or precision for Cohen's kappa
Sample size or precision for limit of agreement on Bland-Altman plots
Sample size or precision for likelihood ratios
Sample size or precision for a mean difference
Sample size or precision for an odds ratio
Sample size or precision for a proportion
Sample size or precision for a rate
Sample size or precision for a rate ratio
Sample size or precision for risk difference
Sample size or precision for risk ratio
presize: Precision Based Sample Size Calculation
Sample size and precision of sensitivity and specificity
Bland (2009) <doi:10.1136/bmj.b3985> recommended to base study sizes on the width of the confidence interval rather the power of a statistical test. The goal of 'presize' is to provide functions for such precision based sample size calculations. For a given sample size, the functions will return the precision (width of the confidence interval), and vice versa.
Useful links