ArticleJournal of biopharmaceutical statistics2020
The inverse-probability-of-censoring weighting (IPCW) adjusted win ratio statistic: an unbiased estimator in the presence of independent censoring.
Article in Journal of biopharmaceutical statistics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
37 citing papers in PubMed, 63 citations in OpenAlex.
- Comparative effectiveness of torsemide vs furosemide in the management of heart failure patients: Win-ratio reanalysis of the TRANSFORM-HF trial.American heart journal · 2026Trial
- On Hierarchical Composite Endpoints in Pediatric Cancer Supportive Care: Illustrative Examples From Two Multi-Center Phase-III Randomized Clinical Trials.Pediatric blood & cancer · 2026Trial
- Oral Anticoagulants in Patients With Atrial Fibrillation and Advanced CKD Not Requiring Dialysis.JAMA network open · 2026Article
- Comparing Missing Data Strategies for Generalized Pairwise Comparisons in Randomized Clinical Trials: A Simulation Study.Statistics in medicine · 2026Article
- Digital Monitoring and Chronic Pain Trajectories in Patients Receiving Tertiary Pain Care.JAMA network open · 2026Observational
- Estimating treatment effects from non-overlapping cohorts with application to antimicrobial resistance.BMC medical research methodology · 2026Article
- Evaluation of 24-Month Effects of the Close to Home Program on Youth Sexual and Dating Violence Across 22 Communities in California: Protocol for a Quasi-Experimental Cluster-Matched Control Trial.JMIR research protocols · 2026Article
- Empirical Comparison of Win Ratio and Joint Frailty Models for Recurrent Event Endpoints With Applications in Oncology and Cardiology.Statistics in medicine · 2026Article
- Article
- Comparing the performance of statistical and machine learning survival models in predicting timing and determinants of postnatal care in Rwanda.BMC pregnancy and childbirth · 2026Article
- Deep survival modeling to predict future cognitive impairment in unimpaired adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026Article
- Predicting Win-Loss Probabilities for Composite Time-to-Event Outcomes Under The Proportional Win-Fractions Regression Model.Statistics in medicine · 2026Article
- Improving Power of the Win Ratio Analysis through Distance-based Weights.Statistics in medicine · 2026Article
- An operational target trial emulation framework for causal inference using electronic health record data.NPJ digital medicine · 2026Review
- Generalizing the Finkelstein-Schoenfeld Test to Incorporate Multiple Alternating Thresholds.Biometrical journal. Biometrische Zeitschrift · 2026Article
- Use of eGFR Slope Thresholds as End Point Components in a Kidney Disease Progression Hierarchical Composite End Point.Journal of the American Society of Nephrology : JASN · 2025Article
- Risk of Seizure Associated With Concomitant Use of Tramadol and Antidepressants in Older Nursing Home Residents.Neurology · 2025Article
- Approximating win-loss probabilities based on the overall and event-free survival functions.Statistics & probability letters · 2025Article
- Specification of Estimands for Complex Disease Processes Using Multistate Models and Utility Functions.Statistics in medicine · 2025Article
- An IPCW Adjusted Win Statistics Approach in Clinical Trials Incorporating Equivalence Margins to Define Ties.Statistics in medicine · 2025Article
Corrections and comments
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Authors and funding
7 authors at 6 institutions in 1 country.
Funding
Abstract
The win ratio method has received much attention in methodological research, ad hoc analyses, and designs of prospective studies. As the primary analysis, it supported the approval of tafamidis for the treatment of cardiomyopathy to reduce cardiovascular mortality and cardiovascular-related hospitalization. However, its dependence on censoring is a potential shortcoming. In this article, we propose the inverse-probability-of-censoring weighting (IPCW) adjusted win ratio statistic (i.e., the IPCW-adjusted win ratio statistic) to overcome censoring issues. We consider independent censoring, common censoring across endpoints, and right censoring. We develop an asymptotic variance estimator for the logarithm of the IPCW-adjusted win ratio statistic and evaluate it via simulation. Our simulation studies show that, as the amount of censoring increases, the unadjusted win proportions may decrease greatly. Consequently, the bias of the unadjusted win ratio estimate may increase greatly, producing either an overestimate or an underestimate. We demonstrate theoretically and through simulation that the IPCW-adjusted win ratio statistic gives an unbiased estimate of treatment effect.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.