Work

Using high‐dimensional propensity scores to automate confounding control in a distributed medical product safety surveillance system

Year: 2012

Type: article

Source: Pharmacoepidemiology and Drug Safety

DOI: 10.1002/pds.2328

Authors: Jeremy A. Rassen, Sebastian Schneeweiss

Institutions: Brigham and Women's Hospital, Harvard University

Language: English

Topic: Pharmacovigilance and Adverse Drug Reactions

Subfield: Toxicology

Field: Pharmacology, Toxicology and Pharmaceutics

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Institutes of Health, Agency for Healthcare Research and Quality, National Heart, Lung, and Blood Institute, U.S. National Library of Medicine, National Center for Research Resources

Awards: Analyzing Complex Healthcare Data to Determine Causality of Observed Drug Effects, G4750251080, COMPARATIVE EFFECTIVENESS METHODS FOR EVALUATION OF IN-HOSPITAL EXPOSURES, G7742113939, Effectiveness studies with securely pooled healthcare data and adjusted analyses

OpenAlex ID: W1501511408

FWCI: 18.02

Cites: 37

Cited by: 101

Related to: 10