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GLUMIP 2.0: SAS/IML Software for Planning Internal Pilots
Journal article   Open access   Peer reviewed

GLUMIP 2.0: SAS/IML Software for Planning Internal Pilots

Christopher S Coffey, Keith E Muller and John A Kairalla
Journal of statistical software, Vol.28(7), pp.1-32
Journal of Statistical Software
11/13/2008
DOI: 10.18637/jss.v028.i07
PMCID: PMC5074077
PMID: 27774042
url
https://doi.org/10.18637/jss.v028.i07View
Published (Version of record) Open Access

Abstract

Internal pilot designs involve conducting interim power analysis (without interim data analysis) to modify the final sample size. Recently developed techniques have been described to avoid the type~I error rate inflation inherent to unadjusted hypothesis tests, while still providing the advantages of an internal pilot design. We present GLUMIP 2.0, the latest version of our free SAS/IML software for planning internal pilot studies in the general linear univariate model (GLUM) framework. The new analytic forms incorporated into the updated software solve many problems inherent to current internal pilot techniques for linear models with Gaussian errors. Hence, the GLUMIP 2.0 software makes it easy to perform exact power analysis for internal pilots under the GLUM framework with independent Gaussian errors and fixed predictors.

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