wp.mmrm: Power analysis for longitudinal data analysis

In WebPower: Basic and Advanced Statistical Power Analysis

Power analysis for longitudinal data analysis

Description

The two functions are adapted from the R package longpower by Michael C. Donohue. More will be added later.

Usage

wp.mmrm(N = NULL, Ra = NULL, ra = NULL, sigmaa = NULL, 
Rb = NULL, rb = NULL, sigmab = NULL, lambda = 1, 
delta = NULL, alpha = 0.05, power = NULL, 
alternative = c("two.sided", "one.sided"))
wp.mmrm.ar1(N = NULL, rho = NULL, ra = NULL, sigmaa = NULL, 
rb = NULL, sigmab = NULL, lambda = 1, times = 1:length(ra), 
delta = NULL, alpha = 0.05, power = NULL, 
alternative = c("two.sided", "one.sided"))

Arguments

N	N
Ra	Ra
ra	ra
sigmaa	sigmaa
Rb	Rb
rb	rb
sigmab	sigmab
lambda	lambda
delta	delta
alpha	Significance level
power	Statistical power
alternative	alternative hypothesis
rho	rho
times	times

References

Lu, K., Luo, X., Chen, P.-Y. (2008) Sample size estimation for repeated measures analysis in randomized clinical trials with missing data. International Journal of Biostatistics, 4, (1)

WebPower documentation built on Oct. 14, 2023, 1:06 a.m.