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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

Author

Listed:
  • 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.

Suggested Citation

  • Friederike M.-S. Barthel & Patrick Royston & Abdel Babiker, 2005. "A menu-driven facility for complex sample size calculation in randomized controlled trials with a survival or a binary outcome: Update," Stata Journal, StataCorp LP, vol. 5(1), pages 123-129, March.
    • Handle: RePEc:tsj:stataj:v:5:y:2005:i:1:p:123-129
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    References listed on IDEAS

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    1. Patrick Royston & Abdel Babiker, 2002. "A menu-driven facility for complex sample size calculation in randomized controlled trials with a survival or a binary outcome," Stata Journal, StataCorp LP, vol. 2(2), pages 151-163, May.
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    Cited by:

    1. Patrick Royston & Friederike M.-S. Barthel, 2010. "Projection of power and events in clinical trials with a time-to-event outcome," Stata Journal, StataCorp LP, vol. 10(3), pages 386-394, September.
    2. H. Joseph Newton & Nicholas J. Cox, 2016. "The Stata Journal Editors' Prize 2016: Patrick Royston," Stata Journal, StataCorp LP, vol. 16(4), pages 815-825, December.

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