GLMPOWER Procedure
Power and sample size analysis optimizes the resource usage and design of a study, improving chances of conclusive results with
maximum efficiency. The GLMPOWER procedure performs prospective power and sample size analysis for linear models, with a variety of goals:
 determining the sample size required to get a significant result with adequate probability (power)
 characterizing the power of a study to detect a meaningful effect
 conducting whatif analyses to assess sensitivity of the power or required sample size to other factors
The following are highlights of the GLMPOWER procedure's features:
 statistical analyses that are covered include Type III F tests and contrasts of
fixed effects in univariate and multivariate linear models, optionally with covariates
 for multivariate models, you can choose from the following tests:
 Wilks' lambda
 HotellingLawley trace
 Pillai's trace
 for the univariate approach to repeated measures, you can choose from the following types of F tests:
 uncorrected
 GreenhouseGeisser
 HuynhFeldt
 Box conservative

 supports BY group processing, which enables you to obtain separate analyses for grouped observations
 creates a SAS data set that corresponds to any output table
 automatically creates graphs by using ODS Graphics

For further details see the GLMPOWER Procedure
Examples