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Adjusted win ratio using the inverse probability of treatment weighting

Published:2023-11-10 Issue: Volume: Page:1-16
ISSN:1054-3406
Container-title:Journal of Biopharmaceutical Statistics
language:en
Short-container-title:Journal of Biopharmaceutical Statistics

Author:

Wang Duolao¹^ORCID,Zheng Sirui¹,Cui Ying²,He Nengjie¹,Chen Tao³,Huang Bo⁴^ORCID

Affiliation:

1. Biostatistics Unit, Department of Clinical Sciences, Liverpool School of Tropical Medicine, Pembroke, UK

2. Department of Biostatistics and Bioinformatics, Emory University, Atlanta, Georgia, USA

3. Centre for Health Economics, University of York, York, UK

4. Pfizer Research & Development, Pfizer Inc, Groton, Connecticut, USA

Funder

Medical Research Council

Publisher

Informa UK Limited

Subject

Pharmacology (medical),Pharmacology,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/10543406.2023.2275759

Reference31 articles.

1. Mean Difference, Standardized Mean Difference (SMD), and Their Use in Meta-Analysis

2. An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies

3. Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies

4. The win ratio: Impact of censoring and follow‐up time and use with nonproportional hazards

5. Adjusting win statistics for dependent censoring

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