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artbin: Extended sample size for randomized trials with binary outcomes.

Ella Marley-Zagar1, Ian R White1, Patrick Royston1

  • 1MRC Clinical Trials Unit University College London London, U.K.

The Stata Journal
|July 18, 2023
PubMed
Summary
This summary is machine-generated.

The Stata command artbin has been updated to calculate sample sizes for binary outcomes. It now includes new options for various statistical tests, study designs, and noninferiority trials, enhancing its utility for researchers.

Keywords:
artbinbinary outcomenoninferiority trialpowerrandomized clinical trialsample sizest0013_3superiority trial

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Area of Science:

  • Biostatistics
  • Statistical Software

Background:

  • The Stata command artbin, available since 2004, provides sample size calculations for binary outcomes.
  • It has not been previously documented in the Stata Journal.
  • Recent updates enhance its functionality for various statistical needs.

Purpose of the Study:

  • To introduce the updated artbin command for Stata.
  • To detail the new features and improvements in artbin.
  • To explain the underlying statistical formulas used in artbin for sample size calculations.

Main Methods:

  • Description of the artbin command in Stata.
  • Explanation of updated options for statistical tests, methods, and study designs.
  • Inclusion of formulas for sample size calculations in different settings, including noninferiority trials.

Main Results:

  • The updated artbin command offers enhanced facilities for sample size calculation.
  • New options cater to diverse statistical tests, study designs, and noninferiority trials.
  • Improved syntax and formula implementations are detailed.

Conclusions:

  • The updated artbin command is a valuable tool for researchers needing to calculate sample sizes for binary outcomes in Stata.
  • Its comprehensive features and updated functionalities improve statistical planning for clinical trials and other research.
  • The article provides a detailed guide to using artbin and understanding its statistical basis.