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Activity Number:
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61
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Type:
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Contributed
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Date/Time:
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Sunday, August 3, 2008 : 4:00 PM to 5:50 PM
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Sponsor:
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Section on Statistical Computing
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| Abstract - #302305 |
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Title:
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GLUMIP 2.0: SAS/IML Software for Planning Internal Pilots
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Author(s):
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John A. Kairalla*+ and Christopher S. Coffey and Keith E. Muller
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Companies:
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University of Florida and The University of Alabama at Birmingham and University of Florida
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Address:
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Division of Biostatistics, College of Medicine, Gainesville, FL, 32610-0177,
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Keywords:
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sample size ; re-estimation ; power ; adaptive
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Abstract:
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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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