| Literature DB >> 28343373 |
Xiaodong Luo1, Junshan Qiu2, Steven Bai2, Hong Tian3.
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.Entities:
Keywords: clinical trials; composite end points; contribution index; prioritized outcomes; variance estimation; weighted win ratio
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Year: 2017 PMID: 28343373 PMCID: PMC5490500 DOI: 10.1002/sim.7284
Source DB: PubMed Journal: Stat Med ISSN: 0277-6715 Impact factor: 2.373