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Projection of power and events in clinical trials with a time-to-event outcome

Author

Listed:
  • Patrick Royston

    (MRC Clinical Trials Unit and University College London)

  • Friederike M.-S. Barthel

    (GlaxoSmithKline)

Abstract

In 2005, Barthel, Royston, and Babiker presented a menu-driven Stata program under the generic name of ART (assessment of resources for trials) to calculate sample size and power for complex clinical trial designs with a time-to- event or binary outcome. In this article, we describe a Stata tool called ARTPEP, which is intended to project the power and events of a trial with a time-to-event outcome into the future given patient accrual figures so far and assumptions about event rates and other defining parameters. ARTPEP has been designed to work closely with the ART program and has an associated dialog box. We illustrate the use of ARTPEP with data from a phase III trial in esophageal cancer.

Suggested Citation

  • 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.
    • Handle: RePEc:tsj:stataj:v:10:y:2010:i:3:p:386-394
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    References listed on IDEAS

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    1. 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.
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    Cited by:

    1. 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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    1. 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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