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A menu-driven facility for complex sample size calculation in randomized controlled trials with a survival or a binary outcome: Update

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Author Info
Friederike M.-S. Barthel (UK Medical Research Council)
Patrick Royston (UK Medical Research Council)
Abdel Babiker (UK Medical Research Council)
Abstract

Royston and Babiker (2002) presented a menu-driven Stata program for the calculation of sample size or power for complex clinical trial designs under a survival time or binary outcome. In the present article, the package is updated to Stata 8 under the new name ART. Furthermore, the program has been extended to incorporate noninferiority designs and provides more detailed output. This package is the only realistic sample size tool for survival studies available in Stata. Copyright 2005 by StataCorp LP.

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Publisher Info
Article provided by StataCorp LP in its journal Stata Journal.

Volume (Year): 5 (2005)
Issue (Month): 1 (March)
Pages: 123-129
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:tsj:stataj:v:5:y:2005:i:1:p:123-129

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Related research
Keywords: sample size; power; randomized controlled trial; multiarm designs; survival analysis;

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This page was last updated on 2009-12-20.


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