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 what-if 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
- Hotelling-Lawley trace
- Pillai's trace
- for the univariate approach to repeated measures, you can choose from the following types of F tests:
- uncorrected
- Greenhouse-Geisser
- Huynh-Feldt
- Box conservative
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- 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
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For further details see the GLMPOWER Procedure
Examples