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

Friederike M.-S. Barthel, Patrick Royston and Abdel Babiker
Additional contact information
Friederike M.-S. Barthel: UK Medical Research Council
Patrick Royston: UK Medical Research Council
Abdel Babiker: UK Medical Research Council

Stata Journal, 2005, vol. 5, issue 1, pages 123-129

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.

Keywords: sample size; power; randomized controlled trial; multiarm designs; survival analysis (search for similar items in EconPapers)
Date: 2005

Downloads: (external link)
http://www.stata-journal.com/software/sj5-1/st0013_1/ (text/html)
http://www.stata-journal.com/article.html?article=st0013_1

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: http://EconPapers.repec.org/RePEc:tsj:stataj:v:5:y:2005:i:1:p:123-129

Ordering information: This journal article can be ordered from
http://www.stata-journal.com/subscription.html

Access Statistics for this article

Stata Journal is edited by H. Joseph Newton and Nicholas J. Cox

More articles in Stata Journal from StataCorp LP
Series data maintained by Christopher F. Baum ().