Using propensity scores to estimate effects of treatment initiation decisions: State of the science

Author:

Webster‐Clark Michael1ORCID,Stürmer Til1,Wang Tiansheng1,Man Kenneth23,Marinac‐Dabic Danica4,Rothman Kenneth J.56,Ellis Alan R.7,Gokhale Mugdha18,Lunt Mark9,Girman Cynthia110,Glynn Robert J.11

Affiliation:

1. Department of Epidemiology UNC Chapel Hill Chapel Hill North Carolina USA

2. Research Department of Practice and Policy UCL School of Pharmacy London UK

3. Department of Pharmacology and Pharmacy, LKS Faculty of Medicine University of Hong Kong Hong Kong

4. Office of Clinical Evidence and Analysis FDA Center for Devices and Radiological Health Silver Springs Maryland USA

5. RTI Health Solutions Raleigh North Carolina USA

6. Department of Epidemiology Boston University Boston Massachusetts USA

7. Department of Social Work NC State University Raleigh North Carolina USA

8. Pharmacoepidemiology, Center for Observational & Real‐World Evidence Merck West Point Pennsylvania USA

9. The Arthritis Research UK Epidemiology Unit University of Manchester Manchester UK

10. CERobs Consulting, LLC Chapel Hill North Carolina USA

11. Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital Harvard Medical School Boston Massachusetts USA

Funder

National Institute on Aging

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Reference137 articles.

1. Confounding in Health Research

2. FDA.Real World Evidence.2018.https://www.fda.gov/science‐research/science‐and‐research‐special‐topics/real‐world‐evidence. Accessed August 6 2019.

3. Data Rich, Information Poor: Can We Use Electronic Health Records to Create a Learning Healthcare System for Pharmaceuticals?

4. Smoking and lung cancer: recent evidence and a discussion of some questions;Cornfield J;J Natl Cancer Inst,1959

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