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The CUSTOM statement that was added to the POWER procedure in SAS/STAT® 14.2 extends the scope of supported data analyses to include generalized linear models and other extensions of existing capabilities. It works in concert with an exemplary data set and the SAS/STAT procedure that you plan to use for the eventual data analysis. This paper explains the method and demonstrates it for a variety of data analyses, including Poisson regression, logistic regression, and zero-inflated models. It also discusses how you can use CUSTOM statement options to refine the method for sample size inflation/deflation or for extra covariates. <br/><br/>John Castelloe, SAS
Session 1983
en
jeff.foxx@sas.com
The CUSTOM statement that was added to the POWER procedure in SAS/STAT® 14.2 extends the scope of supported data analyses to include generalized linear models and other extensions of existing capabilities. It works in concert with an exemplary data set and the SAS/STAT procedure that you plan to use for the eventual data analysis. This paper explains the method and demonstrates it for a variety of data analyses, including Poisson regression, logistic regression, and zero-inflated models. It also discusses how you can use CUSTOM statement options to refine the method for sample size inflation/deflation or for extra covariates. <br/><br/>John Castelloe, SAS
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2018-03-28T13:15:40.000-04:00
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Power Analysis for Generalized Linear Models Using the New CUSTOM Statement in PROC POWER
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