GLUMIP 2.0：内部试点规划软件。
GLUMIP 2.0: Software for Planning Internal Pilots.
作者信息
Kairalla John A, Coffey Christopher S, Muller Keith E
机构信息
The University of Florida.
The University of Alabama at Birmingham.
出版信息
J Stat Softw. 2008 Nov;28(7). doi: 10.18637/jss.v028.i07. Epub 2008 Nov 13.
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 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 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.
摘要
内部预试验设计涉及进行中期功效分析（不进行中期数据分析）以调整最终样本量。最近已描述了一些新开发的技术，这些技术可避免未经调整的假设检验中固有的 I 型错误率膨胀，同时仍能提供内部预试验设计的优势。我们展示了 2.0，这是我们免费的 SAS/IML 软件的最新版本，用于在一般线性单变量模型（GLUM）框架下规划内部预试验研究。纳入更新软件的新分析形式解决了当前针对具有高斯误差的线性模型的内部预试验技术所固有的许多问题。因此， 2.0 软件使得在具有独立高斯误差和固定预测变量的 GLUM 框架下轻松进行内部预试验的精确功效分析成为可能。
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POWERLIB: SAS/IML Software for Computing Power in Multivariate Linear Models.
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2
Properties of Doubly-Truncated Gamma Variables.
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3
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Commun Stat Theory Methods. 2007;36(11). doi: 10.1080/03610920601143634.
4
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5
A SAS macro for sample size adjustment and randomization test for internal pilot study.
Comput Methods Programs Biomed. 2008 Apr;90(1):66-88. doi: 10.1016/j.cmpb.2007.11.016. Epub 2008 Jan 14.
6
Are flexible designs sound?
Biometrics. 2006 Sep;62(3):664-9; discussion 670-83. doi: 10.1111/j.1541-0420.2006.00626.x.
7
A brief review on software developments for group sequential and adaptive designs.
Biom J. 2006 Aug;48(4):732-7. doi: 10.1002/bimj.200510233.
8
Sample size recalculation in internal pilot study designs: a review.
Biom J. 2006 Aug;48(4):537-55. doi: 10.1002/bimj.200510238.
9
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Stat Med. 2006 Oct 15;25(19):3236-44; discussion 3320-5, 3326-47. doi: 10.1002/sim.2625.
10
Adaptive designs in clinical drug development--an Executive Summary of the PhRMA Working Group.
J Biopharm Stat. 2006 May;16(3):275-83; discussion 285-91, 293-8, 311-2. doi: 10.1080/10543400600614742.
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