Using high-dimensional propensity scores to automate confounding control in a distributed medical product safety surveillance system
Author:
Affiliation:
1. Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine; Brigham and Women's Hospital and Harvard Medical School; Boston MA USA
Publisher
Wiley
Subject
Pharmacology (medical),Epidemiology
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/pds.2328/fullpdf
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4. When Should Multi-Site Electronic Healthcare Database Surveillance Systems Use Case-Based Designs For Medical Product Safety Monitoring?: Working Group on Case-Based Approaches for the Methods Core of the Mini-Sentinel Initiative 2011
5. Causal diagrams for epidemiologic research;Greenland;Epidemiology,1999
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