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artbin: Extended sample size for randomized trials with binary outcomes

Marley-Zagar, Ella; White, Ian R; Royston, Patrick; Barthel, Friederike M-S; Parmar, Mahesh KB; Babiker, Abdel G; (2023) artbin: Extended sample size for randomized trials with binary outcomes. The Stata Journal , 23 (1) pp. 24-52. 10.1177/1536867x231161971. Green open access

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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.

Type: Article
Title: artbin: Extended sample size for randomized trials with binary outcomes
Open access status: An open access version is available from UCL Discovery
DOI: 10.1177/1536867x231161971
Publisher version: https://doi.org/10.1177/1536867X231161971
Language: English
Additional information: © StataCorp LLC 2023. This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/).
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Inst of Clinical Trials and Methodology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Inst of Clinical Trials and Methodology > MRC Clinical Trials Unit at UCL
URI: https://discovery.ucl.ac.uk/id/eprint/10168832
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