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

Circulation. 2021 Jul 27;144(4):e70-e91. doi: 10.1161/CIRCULATIONAHA.121.055393. Epub 2021 May 25.


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.

Keywords: biostatistics.

Publication types

  • Review

MeSH terms

  • American Heart Association
  • Bayes Theorem
  • Cardiology / methods
  • Cardiology / organization & administration
  • Cardiology / statistics & numerical data*
  • Cardiovascular Diseases / diagnosis
  • Cardiovascular Diseases / epidemiology*
  • Cardiovascular Diseases / etiology
  • Data Interpretation, Statistical*
  • Disease Management
  • Disease Susceptibility
  • Genetic Predisposition to Disease
  • Guidelines as Topic*
  • Humans
  • Meta-Analysis as Topic
  • Prognosis
  • Randomized Controlled Trials as Topic
  • Research Design / standards*
  • Survival Analysis
  • United States