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From | "Mark Marshall" <mrmarsh@woosh.co.nz> |
To | <statalist@hsphsun2.harvard.edu> |
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. * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/