Recommendations for Statistical Reporting in Cardiovascular Medicine: A Special Report from the American Heart Association

Andrew D. Althouse, Jennifer E. Below, Brian L. Claggett, Nancy J. Cox, James A. De Lemos, Rahul C. Deo, Sue Duval, Rory Hachamovitch, Sanjay Kaul, Scott W. Keith, Eric Secemsky, Armando Teixeira-Pinto, Veronique L. Roger

Research output: Contribution to journalReview articlepeer-review

37 Scopus citations

Abstract

Statistical analyses are a crucial component of the biomedical research process and are necessary to draw inferences from biomedical research data. The application of sound statistical methodology is a prerequisite for publication in the American Heart Association (AHA) journal portfolio. The objective of this document is to summarize key aspects of statistical reporting that might be most relevant to the authors, reviewers, and readership of AHA journals. The AHA Scientific Publication Committee convened a task force to inventory existing statistical standards for publication in biomedical journals and to identify approaches suitable for the AHA journal portfolio. The experts on the task force were selected by the AHA Scientific Publication Committee, who identified 12 key topics that serve as the section headers for this document. For each topic, the members of the writing group identified relevant references and evaluated them as a resource to make the standards summarized herein. Each section was independently reviewed by an expert reviewer who was not part of the task force. Expert reviewers were also permitted to comment on other sections if they chose. Differences of opinion were adjudicated by consensus. The standards presented in this report are intended to serve as a guide for high-quality reporting of statistical analyses methods and results.

Original languageEnglish (US)
Pages (from-to)E70-E91
JournalCirculation
Volume144
Issue number4
DOIs
StatePublished - Jul 27 2021

Keywords

  • biostatistics

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine
  • Physiology (medical)

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