This paper is in the following e-collection/theme issue:

Letters to the Editor (2) Electronic Health Records (1071) Coronary Heart Disease (81) Cross-Sectional Studies in Public Health (289) Cardiovascular Disease Prevention (142) Cardiac Risk and Cardiac Risk Calculators (47)

Published on in Vol 6, No 1 (2022): Jan-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36801, first published .
Authors’ Reply to: Using Caution When Interpreting Gender-Based Relative Risk. Comment on “The Effect of Cardiovascular Comorbidities on Women Compared to Men: Longitudinal Retrospective Analysis”

Authors’ Reply to: Using Caution When Interpreting Gender-Based Relative Risk. Comment on “The Effect of Cardiovascular Comorbidities on Women Compared to Men: Longitudinal Retrospective Analysis”

Authors’ Reply to: Using Caution When Interpreting Gender-Based Relative Risk. Comment on “The Effect of Cardiovascular Comorbidities on Women Compared to Men: Longitudinal Retrospective Analysis”

Authors of this article:

Elma Dervic1, 2 Author Orcid Image ;   Carola Deischinger3 Author Orcid Image ;   Nina Haug1, 2 Author Orcid Image ;   Michael Leutner3 Author Orcid Image ;   Alexandra Kautzky-Willer3, 4 Author Orcid Image ;   Peter Klimek1, 2 Author Orcid Image
Article Authors Cited by Tweetations (2) Metrics

Elma Dervic   1, 2 , MSCE ;   Carola Deischinger   3 , PhD ;   Nina Haug   1, 2 , PhD ;   Michael Leutner   3 , PhD ;   Alexandra Kautzky-Willer   3, 4 , PhD ;   Peter Klimek   1, 2 , PhD

1 Section for Science of Complex Systems, Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Vienna, Austria

2 Complexity Science Hub Vienna, Vienna, Austria

3 Department of Medicine III, Clinical Division of Endocrinology and Metabolism, Gender Medicine Unit, Medical University of Vienna, Vienna, Austria

4 Gender Institute, Gars am Kamp, Austria

Corresponding Author:

  • Peter Klimek, PhD
  • Section for Science of Complex Systems
  • Center for Medical Statistics, Informatics and Intelligent Systems
  • Medical University of Vienna
  • Spitalgasse 23
  • Vienna, 1090
  • Austria
  • Phone: 43 1 40160 362
  • Fax: 43 1 40160 93625
  • Email: peter.klimek@meduniwien.ac.at