- Home
- Publications
- Publication Search
- Publication Details
Title
On recurrent-event win ratio
Authors
Keywords
-
Journal
STATISTICAL METHODS IN MEDICAL RESEARCH
Volume -, Issue -, Pages 096228022210841
Publisher
SAGE Publications
Online
2022-03-29
DOI
10.1177/09622802221084134
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Statistical models for composite endpoints of death and non-fatal events: a review
- (2021) Lu Mao et al. Statistics in Biopharmaceutical Research
- On restricted mean time in favor of treatment
- (2021) Lu Mao BIOMETRICS
- The inverse-probability-of-censoring weighting (IPCW) adjusted win ratio statistic: an unbiased estimator in the presence of independent censoring
- (2020) Gaohong Dong et al. Journal of Biopharmaceutical Statistics
- Adjusting win statistics for dependent censoring
- (2020) Gaohong Dong et al. PHARMACEUTICAL STATISTICS
- The win ratio: On interpretation and handling of ties
- (2019) Gaohong Dong et al. Statistics in Biopharmaceutical Research
- A win ratio approach to the re-analysis of Multiple Risk Factor Intervention Trial
- (2019) Ales Kotalik et al. Clinical Trials
- Comparison of Time-to-First Event and Recurrent Event Methods in Randomized Clinical Trials
- (2018) Brian Claggett et al. CIRCULATION
- The win ratio approach did not alter study conclusions and may mitigate concerns regarding unequal composite end points in kidney transplant trials
- (2018) Nicholas A. Fergusson et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- On the alternative hypotheses for the win ratio
- (2018) Lu Mao BIOMETRICS
- Tafamidis Treatment for Patients with Transthyretin Amyloid Cardiomyopathy
- (2018) Mathew S. Maurer et al. NEW ENGLAND JOURNAL OF MEDICINE
- Graphing the Win Ratio and its components over time
- (2018) Dianne M. Finkelstein et al. STATISTICS IN MEDICINE
- Weighted win loss approach for analyzing prioritized outcomes
- (2017) Xiaodong Luo et al. STATISTICS IN MEDICINE
- On the win-ratio statistic in clinical trials with multiple types of event
- (2016) D. Oakes BIOMETRIKA
- The ixCELL-DCM Trial: Rationale and Design
- (2016) Timothy D. Henry et al. CELL TRANSPLANTATION
- The win ratio approach to analyzing composite outcomes: An application to the EVOLVE trial
- (2016) Safa Abdalla et al. Contemporary Clinical Trials
- A win ratio approach to comparing continuous non-normal outcomes in clinical trials
- (2016) Duolao Wang et al. PHARMACEUTICAL STATISTICS
- A generalized analytic solution to the win ratio to analyze a composite endpoint considering the clinical importance order among components
- (2016) Gaohong Dong et al. PHARMACEUTICAL STATISTICS
- On random-effects meta-analysis
- (2015) D. Zeng et al. BIOMETRIKA
- Large sample inference for a win ratio analysis of a composite outcome based on prioritized components: Table 1.
- (2015) Ionut Bebu et al. BIOSTATISTICS
- Semiparametric regression for the weighted composite endpoint of recurrent and terminal events
- (2015) Lu Mao et al. BIOSTATISTICS
- An alternative approach to confidence interval estimation for the win ratio statistic
- (2014) Xiaodong Luo et al. BIOMETRICS
- Analysing recurrent hospitalizations in heart failure: a review of statistical methodology, with application to CHARM-Preserved
- (2014) Jennifer K. Rogers et al. EUROPEAN JOURNAL OF HEART FAILURE
- Time to move on from 'time-to-first': should all events be included in the analysis of clinical trials?
- (2012) S. D. Anker et al. EUROPEAN HEART JOURNAL
- The win ratio: a new approach to the analysis of composite endpoints in clinical trials based on clinical priorities
- (2011) S. J. Pocock et al. EUROPEAN HEART JOURNAL
- Generalized pairwise comparisons of prioritized outcomes in the two-sample problem
- (2010) Marc Buyse STATISTICS IN MEDICINE
- Efficacy and Safety of Exercise Training in Patients With Chronic Heart Failure
- (2009) Christopher M. O’Connor et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started