Weighted win loss approach for analyzing prioritized outcomes‡. (26th March 2017)

• Record Type: Journal Article
• Authors: Luo, Xiaodong; Qiu, Junshan; Bai, Steven; Tian, Hong
• Is Part Of: Statistics in medicine. Volume 36:Number 15(2017)
• Page Start: 2452
• Page End: 2465
• Publication Date: 2017-03-26
• Subjects: clinical trials -- composite end points -- contribution index -- prioritized outcomes -- weighted win ratio -- variance estimation; Medical statistics -- Periodicals; Statistique médicale -- Périodiques; Statistiques médicales -- Périodiques; 610.727
• DOI: 10.1002/sim.7284
• Languages: English
• ISSNs: 0277-6715

Abstract

Abstract : To analyze prioritized outcomes, Buyse (2010) and Pocock et al . (2012) proposed the win loss approach. In this paper, we first study the relationship between the win loss approach and the traditional survival analysis on the time to the first event. We then propose the weighted win loss statistics to improve the efficiency of the unweighted methods. A closed‐form variance estimator of the weighted win loss statistics is derived to facilitate hypothesis testing and study design. We also calculated the contribution index to better interpret the results of the weighted win loss approach. Simulation studies and real data analysis demonstrated the characteristics of the proposed statistics. Copyright © 2017 John Wiley & Sons, Ltd.