Large sample inference for a win ratio analysis of a composite outcome based on prioritized components: Table 1.

Application of the Wei–Lachin multivariate one-directional test to multiple event-time outcomes

(2015) John M Lachin et al.   Clinical Trials

An alternative approach to confidence interval estimation for the win ratio statistic

(2014) Xiaodong Luo et al.   BIOMETRICS

Applying novel methods to assess clinical outcomes: insights from the TRILOGY ACS trial

(2014) J. A. Bakal et al.   EUROPEAN HEART JOURNAL

The percutaneous coronary intervention prior to transcatheter aortic valve implantation (ACTIVATION) trial: study protocol for a randomized controlled trial

(2014) Muhammed Zeeshan Khawaja et al.   Trials

Moving beyond our comfort zone

(2013) Brian Claggett et al.   EUROPEAN HEART JOURNAL

Advanced multiplicity adjustment methods in clinical trials

(2013) Mohamed Alosh et al.   STATISTICS IN MEDICINE

Opportunities and challenges of combined effect measures based on prioritized outcomes

(2013) Geraldine Rauch et al.   STATISTICS IN MEDICINE

The Placement of Aortic Transcatheter Valve (PARTNER) Trial

(2012) Ajay J. Kirtane et al.   CIRCULATION

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

Addressing Multiplicity Issues of a Composite Endpoint and Its Components in Clinical Trials

(2011) Mohammad F. Huque et al.   Journal of Biopharmaceutical Statistics

Generalized pairwise comparisons of prioritized outcomes in the two-sample problem

(2010) Marc Buyse   STATISTICS IN MEDICINE

General Multistage Gatekeeping Procedures

(2008) Alex Dmitrienko et al.   BIOMETRICAL JOURNAL