Open AccessGLUMIP2.0:SAS/IMLSoftware for Planning Internal Pilots
Author(s) -
John A. Kairalla,
Christopher S. Coffey,
Keith E. Muller
Publication year - 2008
Publication title -
journal of statistical software
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 7.636
H-Index - 145
ISSN - 1548-7660
DOI - 10.18637/jss.v028.i07
Subject(s) - univariate , computer science , software , interim , interim analysis , gaussian , sample size determination , data mining , algorithm , statistics , mathematics , machine learning , multivariate statistics , programming language , medicine , physics , alternative medicine , archaeology , pathology , quantum mechanics , history
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.