Exploring biases in propensity score analyses of Electronic Health Record (EHR) data

Lead Research Organisation: London Sch of Hygiene & Tropic. Medicine
Department Name: Epidemiology and Population Health

Abstract

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

Publications

10 25 50
publication icon
OpenSAFELY Collaborative (2022) Comparison of methods for predicting COVID-19-related death in the general population using the OpenSAFELY platform. in Diagnostic and prognostic research

publication icon
Tazare J (2022) Transparency of high-dimensional propensity score analyses: Guidance for diagnostics and reporting. in Pharmacoepidemiology and drug safety

publication icon
Brown JP (2021) Proton pump inhibitors and risk of all-cause and cause-specific mortality: A cohort study. in British journal of clinical pharmacology

publication icon
Tazare J (2020) Implementing high-dimensional propensity score principles to improve confounder adjustment in UK electronic health records. in Pharmacoepidemiology and drug safety

Studentship Projects

Project Reference Relationship Related To Start End Student Name
MR/N013638/1 30/09/2016 29/09/2025
1784702 Studentship MR/N013638/1 30/09/2016 30/03/2021 John Tazare
MR/R502273/1 30/09/2017 29/09/2021
1784702 Studentship MR/R502273/1 30/09/2016 30/03/2021 John Tazare
 
Description Diagnostics and reporting guidelines for high-dimensional propensity score analyses 
Organisation Harvard University
Country United States 
Sector Academic/University 
PI Contribution We have set up a collaboration with the Division of Pharmacoepidemiology and Pharmacoeconomics at Harvard to develop guidelines for high-dimensional propensity score analyses. This has involved working with a group at Harvard who originally developed this method. We have proposed several visualisation tools and draft guidance based on our experience of high-dimensional propensity scores in UK electronic health records.
Collaborator Contribution Division of Pharmacoepidemiology and Pharmacoeconomics have contributed data as well as input on the suitability of our proposed tools based on vast experience of conducting high-dimensional propensity score analyses.
Impact The work is currently ongoing.
Start Year 2019