| Literature DB >> 25156540 |
Xiaodong Luo1, Hong Tian2, Surya Mohanty2, Wei Yann Tsai3.
Abstract
Pocock et al. (2012, European Heart Journal 33, 176-182) proposed a win ratio approach to analyzing composite endpoints comprised of outcomes with different clinical priorities. In this article, we establish a statistical framework for this approach. We derive the null hypothesis and propose a closed-form variance estimator for the win ratio statistic in all pairwise matching situation. Our simulation study shows that the proposed variance estimator performs well regardless of the magnitude of treatment effect size and the type of the joint distribution of the outcomes.Keywords: Clinical trials; Composite endpoints; Hypothesis testing; Variance estimation; Win ratio
Mesh:
Substances:
Year: 2014 PMID: 25156540 DOI: 10.1111/biom.12225
Source DB: PubMed Journal: Biometrics ISSN: 0006-341X Impact factor: 2.571