View source: R/ANOVA.Repeat.Measure.R
ANOVA.Repeat.Measure | R Documentation |
The study has multiple assessments in a parallel-group clinical trial. \alpha_i
is the fixed effect for the ith treatment \sum \alpha_i =0
.
Ho: \alpha_{i} = \alpha_{i'}
Ha: not equal
ANOVA.Repeat.Measure(alpha, beta, sigma, delta, m)
alpha |
significance level |
beta |
power = 1-beta |
sigma |
sigma^2 is the sum of the variance components. |
delta |
a clinically meaningful difference |
m |
Bonferroni adjustment for alpha, totally m pairs comparison. |
Chow SC, Shao J, Wang H. Sample Size Calculation in Clinical Research. New York: Marcel Dekker, 2003
Example.15.3.4<-ANOVA.Repeat.Measure(0.05,0.2,1.25,1.5,3)
Example.15.3.4
# 15
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