Literature DB >> 27774042

GLUMIP 2.0: SAS/IML Software for Planning Internal Pilots.

John A Kairalla1, Christopher S Coffey2, Keith E Muller1.   

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.

Entities:  

Keywords:  adaptive designs; power; sample size re-estimation

Year:  2008        PMID: 27774042      PMCID: PMC5074077          DOI: 10.18637/jss.v028.i07

Source DB:  PubMed          Journal:  J Stat Softw        ISSN: 1548-7660            Impact factor:   6.440


  24 in total

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Journal:  Biometrics       Date:  2000-12       Impact factor: 2.571

2.  Re-calculating the sample size in internal pilot study designs with control of the type I error rate.

Authors:  M Kieser; T Friede
Journal:  Stat Med       Date:  2000-04-15       Impact factor: 2.373

3.  Internal pilot studies II: comparison of various procedures.

Authors:  D M Zucker; J T Wittes; O Schabenberger; E Brittain
Journal:  Stat Med       Date:  1999-12-30       Impact factor: 2.373

4.  Controlling test size while gaining the benefits of an internal pilot design.

Authors:  C S Coffey; K E Muller
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Journal:  Biometrics       Date:  1999-12       Impact factor: 2.571

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Review 7.  A brief review on software developments for group sequential and adaptive designs.

Authors:  Gernot Wassmer; Marc Vandemeulebroecke
Journal:  Biom J       Date:  2006-08       Impact factor: 2.207

Review 8.  Sample size recalculation in internal pilot study designs: a review.

Authors:  Tim Friede; Meinhard Kieser
Journal:  Biom J       Date:  2006-08       Impact factor: 2.207

9.  A SAS macro for sample size adjustment and randomization test for internal pilot study.

Authors:  Suzhen Wang; Jielai Xia; Lili Yu; Chanjuan Li; Li Xu
Journal:  Comput Methods Programs Biomed       Date:  2008-01-14       Impact factor: 5.428

10.  Some Distributions and Their Implications for an Internal Pilot Study With a Univariate Linear Model.

Authors:  Christopher S Coffey; Keith E Muller
Journal:  Commun Stat Theory Methods       Date:  2000-01       Impact factor: 0.893

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