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st: Sample size estimation using GEEs
From 
 
"Mark Marshall" <[email protected]> 
To 
 
<[email protected]> 
Subject 
 
st: Sample size estimation using GEEs 
Date 
 
Thu, 3 Mar 2011 23:57:44 +1300 
I wish to determine the optimal sample size for a clinical trial of
intervention versus placebo where the outcomes are repeated measures. 
I can do this in Stata with a repeated measures ANCOVA using the sampsi
command. However, this looks a little odd in the grant application when I
then propose GEEs or GLMs in the statistical plan for data analysis.
There is a package in R and Splus called longpower which codes Liu and
Liang's formula for linear GEE models (page 941). I gather there is also a
package is SAS which codes Rochon's formula. There are probably many more
variations on these approaches published in different papers, but I gather
these are the most popular. 
Is there a user friendly Stata ado file that codes any of these
formulae/approaches?
Thanks,
Mark Marshall
AKL, NZ
Liu G, Liang KY. Sample size calculations for studies with correlated
observations. Biometrics. 1997;53:937-47.
Rochon, J. Application of GEE procedures for sample size calculations in
repeated measures experiments.  Statistics in Medicine. 1998;17, 1643-1658.
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