artbin: Extended sample size for randomized trials with binary outcomes

Ella Marley-Zagar (), Ian White, Patrick Royston (), Friederike M.-S. Barthel (), Mahesh K. B. Parmar () and Abdel G. Babiker ()
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Ella Marley-Zagar: 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

Stata Journal, 2023, vol. 23, issue 1, 24-52

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.

Keywords: artbin; sample size; power; binary outcome; randomized clinical trial; superiority trial; noninferiority trial (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1177/1536867X231161971

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