GEESIZE version 3.1 is designed to compute the minimum sample size in studies with correlated response data based on generalized estimating equations (GEE). These correlated response data arise e.g. in repeated measurement designs, family studies or studies involving paired organs like ophtalmological studies.

GEESIZE is a SAS macro using SAS IML which has to be used within a SAS programm. Thus, the SAS IML modul has to be licensed.

The program is based on the following publications:
Rochon, J. (1998)Application of GEE procedures for sample size calculations in repeated measures Stat Med, 17, 1643-1658

Dahmen, G., Rochon, J., König, I. R., Ziegler, A. (2004), Sample size calculations for controlled clinical trials using generalized estimating equations (GEE) Methods Inf Med, 43(5), 451-6

The user might also be interested in:

Dahmen, G., Ziegler, A. (2004), Generalized estimating equations in controlled clinical trials: Hypotheses testing Biom J, 46, 214-232

Dahmen, G., Ziegler, A. (2006), Independence Estimating Equations for Controlled Clinical Trials with Small Sample Sizes Methods Inf Med, 45, 430-4

The documentation file gives an instruction to the use of the macro.

The output comprised the minimal sample size required in each treatment group under the predefined parameter setting. A detailed definition of the output can be find in the documentation file.

View macro

GEESIZE SAS Macro

GEESIZE 3.1 - User Documentation

Examples

Copyright: Prof. Dr. Andreas Ziegler

Contact: ziegler@imbs.uni-luebeck.de