On the win-ratio statistic in clinical trials with multiple types of event

DOI10.1093/biomet/asw026zbMath1506.62454OpenAlexW2500438333MaRDI QIDQ5384407

David Oakes

Publication date: 24 June 2019

Published in: Biometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biomet/asw026

zbMATH Keywords

survival analysisHougaard modelcomposite endpointsemicompeting risks

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Paired and multiple comparisons; multiple testing (62J15)

Related Items (9)

Nonparametric Inference of General While-Alive Estimands for Recurrent Events ⋮ On restricted mean time in favor of treatment ⋮ Unnamed Item ⋮ A class of proportional win‐fractions regression models for composite outcomes ⋮ Sample size formula for general win ratio analysis ⋮ Survival models and health sequences: discussion ⋮ Inference on win ratio for cluster-randomized semi-competing risk data ⋮ On the targets of inference with multivariate failure time data ⋮ Accounting for delayed entry into observational studies and clinical trials: length-biased sampling and restricted mean survival time

This page was built for publication: On the win-ratio statistic in clinical trials with multiple types of event