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artbin: Extended sample size for randomized trials with binary outcomes

Author

Listed:
  • Ella Marley-Zagar

    (University College London)

  • Ian R. White

    (University College London)

  • Patrick Royston

    (University College London)

  • Friederike M.-S. Barthel

    (PRA / ICON PLC Germany)

  • Mahesh K. B. Parmar

    (University College London)

  • Abdel G. Babiker

    (University College London)

Abstract

We describe the command artbin, which offers various new facilities for the calculation of sample size for binary outcome variables that are not otherwise available in Stata. While artbin has been available since 2004, it has not been previously described in the Stata Journal. artbin has been recently updated to include new options for different statistical tests, methods and study designs, improved syntax, and better handling of noninferiority trials. In this article, we describe the updated version of artbin and detail the various formulas used within artbin in different settings.

Suggested Citation

  • Ella Marley-Zagar & Ian R. White & Patrick Royston & Friederike M.-S. Barthel & Mahesh K. B. Parmar & Abdel G. Babiker, 2023. "artbin: Extended sample size for randomized trials with binary outcomes," Stata Journal, StataCorp LP, vol. 23(1), pages 24-52, March.
    • Handle: RePEc:tsj:stataj:v:23:y:2023:i:1:p:24-52
    DOI: 10.1177/1536867X231161971
    Note: to access software from within Stata, net describe http://www.stata-journal.com/software/sj23-1/st0013_3/
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