High‐Dimensional Propensity Scores for Mitigating Confounding: Implementation Using Primary and Secondary Care Data in Hong Kong

We successfully implemented the HDPS in HK data, observing improved covariate balance across a wider set of potential confounders. HDPS also identified possible database-specific frailty markers which could be considered more widely when specifying adjustment variables in this setting.

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Publication Details

Journal
Pharmacoepidemiology and Drug Safety
Published
2026-01-25
DOI
https://doi.org/10.1002/pds.70326
Primary Topic
Advanced Causal Inference Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

High‐Dimensional Propensity Scores for Mitigating Confounding: Implementation Using Primary and Secondary Care Data in Hong Kong

Angel Wong, Edmund C. L. Cheung, Min Fan, Chui Ch et al.
Pharmacoepidemiology and Drug Safety
Advanced Causal Inference Techniques
article

High‐Dimensional Propensity Scores for Mitigating Confounding: Implementation Using Primary and Secondary Care Data in Hong Kong

Angel Wong, Edmund C. L. Cheung, Min Fan, Chui Ch, John Tazare
article en

Abstract

We successfully implemented the HDPS in HK data, observing improved covariate balance across a wider set of potential confounders. HDPS also identified possible database-specific frailty markers which could be considered more widely when specifying adjustment variables in this setting.

Pharmacoepidemiology and Drug SafetyVol. 35(2)
Chinese University of Hong Kong (HK), London School of Hygiene & Tropical Medicine (GB), University of Hong Kong (HK)
Openalex Percentile: Top 80%
Advanced Causal Inference Techniques
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