Confounding adjustment with propensity scores for overlap weighting in observational studies: a concise primer

Overlap weighting is well-suited for observational studies with moderate to poor overlap and can be considered a preferred approach in many real-world contexts. Presenting results from multiple PS methods, including standardized mortality ratio (SMR) weighting, IPTW, PS adjustment, and overlap weighting, can help assess robustness and enhance the credibility of causal inferences.

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Publication Details

Journal
Expert Review of Clinical Pharmacology
Published
2025-08-08
DOI
https://doi.org/10.1080/17512433.2025.2546151
Primary Topic
Advanced Causal Inference Techniques
Type
article
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article

Confounding adjustment with propensity scores for overlap weighting in observational studies: a concise primer

John G. Rizk
Expert Review of Clinical Pharmacology
Advanced Causal Inference Techniques
article

Confounding adjustment with propensity scores for overlap weighting in observational studies: a concise primer

John G. Rizk
article en

Abstract

Overlap weighting is well-suited for observational studies with moderate to poor overlap and can be considered a preferred approach in many real-world contexts. Presenting results from multiple PS methods, including standardized mortality ratio (SMR) weighting, IPTW, PS adjustment, and overlap weighting, can help assess robustness and enhance the credibility of causal inferences.

Expert Review of Clinical PharmacologyVol. 18(8)
University of Maryland, Baltimore (US)
Openalex Percentile: Top 81%
Advanced Causal Inference Techniques
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Confounding adjustment with propensity scores for overlap weighting in observational studies: a concise primer — John G. Rizk · Expert Review of Clinical Pharmacology (2025) | TGRS Research Map | TGRS