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Estimating Risk Ratios and Risk Differences

Published:2020-09-15 Issue:11 Volume:324 Page:1098
ISSN:0098-7484
Container-title:JAMA
language:en
Short-container-title:JAMA

Author:

Holmberg Mathias J.¹²,Andersen Lars W.¹³⁴

Affiliation:

1. Research Center for Emergency Medicine, Department of Clinical Medicine, Aarhus University and Aarhus University Hospital, Aarhus, Denmark

2. Department of Cardiology, Viborg Regional Hospital, Viborg, Denmark

3. Prehospital Emergency Medical Services, Central Denmark Region, Denmark

4. Department of Anesthesiology and Intensive Care, Aarhus University Hospital, Aarhus, Denmark

Publisher

American Medical Association (AMA)

Subject

General Medicine

Link

https://jamanetwork.com/journals/jama/articlepdf/2770607/jama_holmberg_2020_gm_200012_1600069989.70491.pdf

Reference10 articles.

1. Odds ratios—current best practice and use.;Norton;JAMA,2018

2. Association of intra-arrest transport vs continued on-scene resuscitation with survival to hospital discharge among patients with out-of-hospital cardiac arrest.;Grunau;JAMA,2020

3. Binomial regression in GLIM: estimating risk ratios and risk differences.;Wacholder;Am J Epidemiol,1986

4. A modified Poisson regression approach to prospective studies with binary data.;Zou;Am J Epidemiol,2004

5. Easy SAS calculations for risk or prevalence ratios and differences.;Spiegelman;Am J Epidemiol,2005

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