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Odds Ratios—Current Best Practice and Use

  • Published:2018-07-03 Issue:1 Volume:320 Page:84
  • ISSN:0098-7484
  • Container-title:JAMA
  • language:en
  • Short-container-title:JAMA

Author:

Norton Edward C.12,Dowd Bryan E.3,Maciejewski Matthew L.456

Affiliation:

1. Department of Health Management and Policy, Department of Economics, University of Michigan, Ann Arbor

2. National Bureau of Economic Research, Cambridge, Massachusetts

3. Division of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis

4. Center for Health Services Research in Primary Care, Durham Veterans Affairs Medical Center, Durham, North Carolina

5. Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina

6. Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, North Carolina

Publisher

American Medical Association (AMA)

Subject

General Medicine

Reference7 articles.

1. Logistic regression diagnostics: understanding how well a model predicts outcomes.;Meurer;JAMA,2017

2. Misunderstandings about the effects of race and sex on physicians’ referrals for cardiac catheterization.;Schwartz;N Engl J Med,1999

3. An odd measure of risk: use and misuse of the odds ratio.;Holcomb;Obstet Gynecol,2001

4. Log odds and the interpretation of logit models.;Norton;Health Serv Res,2018

5. Confounding: essence and detection.;Miettinen;Am J Epidemiol,1981

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