Mitchell H. Katz, MD
Potential Financial Conflicts of Interest: None disclosed.
Requests for Single Reprints: Mitchell H. Katz, MD, 101 Grove Street, Room 308, San Francisco, CA 94102; e-mail, Mitch.Katz@sfdph.org.
Many clinical readers, especially those uncomfortable with mathematics, treat published multivariable models as a black box, accepting the author's explanation of the results. However, multivariable analysis can be understood without undue concern for the underlying mathematics. This paper reviews the basics of multivariable analysis, including what multivariable models are, why they are used, what types exist, what assumptions underlie them, how they should be interpreted, and how they can be evaluated. A deeper understanding of multivariable models enables readers to decide for themselves how much weight to give to the results of published analyses.
Katz MH. Multivariable Analysis: A Primer for Readers of Medical Research. Ann Intern Med. 2003;138:644–650. doi: https://doi.org/10.7326/0003-4819-138-8-200304150-00012
Download citation file:
Published: Ann Intern Med. 2003;138(8):644-650.
Cardiology, Coronary Heart Disease, Coronary Risk Factors, Smoking, Tobacco, Alcohol, and Other Substance Abuse.
Copyright © 2019 American College of Physicians. All Rights Reserved.
Print ISSN: 0003-4819 | Online ISSN: 1539-3704
Conditions of Use