Difference-in-differences analysis and the propensity score to estimate the impact of non-randomized primary care interventions

Fam Pract. 2019 Mar 20;36(2):247-251. doi: 10.1093/fampra/cmz003.

Authors

Claire Godard-Sebillotte¹, Sathya Karunananthan², Isabelle Vedel¹

Affiliations

¹ Department of Family Medicine, McGill University, Montreal, Canada.
² Ottawa Hospital Research Institute, Ottawa, Canada.

No abstract available

Keywords: Bias; biostatistics; confounding factors; difference-in-differences analysis; primary care; propensity score.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Bias*
Humans
Models, Statistical
Primary Health Care / methods*
Propensity Score*

Grants and funding

CIHR/Canada