Statistical Considerations in Reporting Cardiovascular Research

“As biomedical scientists, we have an obligation to get the numbers right,” declares AJP-Heart and Circulatory Physiology Editor-in-Chief Dr. Irving H. Zucker in the opening of this insightful discussion on, that’s right, statistics. This isn’t your run-of-the-mill boring lecture on statistics, however. Listen as Irv Zucker (University of Nebraska Medical Center) interviews authors Merry L. Lindsey (University of Mississippi Medical Center), Gillian A. Gray (University of Edinburgh), Susan K. Wood (University of South Carolina School of Medicine), and Douglas Curran-Everett (National Jewish Health) about their new Guidelines in Cardiovascular Research article that provides clear, useful, and approachable guidance to authors and reviewers for reporting statistics in cardiovascular research. The authors discuss reporting precise p-values, using standard deviation rather than standard error, and looking beyond the t-test to more detailed analyses and visualization tools for processing datasets. This podcast is full of sage advice about planning statistical considerations early in the study design phase. “Being proactive rather than reactive will make the study stronger,” noted Merry Lindsey. Listen now for more from these experts.


Merry L. Lindsey, Gillian A. Gray, Susan K. Wood, and Douglas Curran-Everett Statistical Considerations in Reporting Cardiovascular Research Am J Physiol Heart Circ Physiol, published August 8, 2018. DOI: 10.1152/ajpheart.00309.2018

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