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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)
significance level
power = 1-beta
sigma^2 is the sum of the variance components.
a clinically meaningful difference
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
# NOT RUN { 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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