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Lifetime Data Analysis|July 11, 1998
On tests for group variation with a small to moderate number of groupsR J GrayLifetime Data Analysis|August 10, 2016
A new approach to regression analysis of censored competing-risks dataYuxue Jin, Tze Leung LaiLifetime Data Analysis|May 6, 2023
Improving marginal hazard ratio estimation using quadratic inference functionsHongkai Liang, Xiaoguang Wang, Yingwei Peng, et al.Lifetime Data Analysis|May 9, 2023
A nonparametric instrumental approach to confounding in competing risks modelsJad Beyhum, Jean-Pierre Florens, Ingrid Van KeilegomLifetime Data Analysis|August 3, 2016
Optimal treatment regimes for survival endpoints using a locally-efficient doubly-robust estimator from a classification perspectiveXiaofei Bai, Anastasios A Tsiatis, Wenbin Lu, et al.Lifetime Data Analysis|May 30, 2015
Estimating the concordance probability in a survival analysis with a discrete number of risk groupsGlenn Heller, Qianxing MoLifetime Data Analysis|June 13, 2015
The current duration design for estimating the time to pregnancy distribution: a nonparametric Bayesian perspectiveDario Gasbarra, Elja Arjas, Aki Vehtari, et al.Lifetime Data Analysis|June 11, 2015
On estimation of covariate-specific residual time quantiles under the proportional hazards modelLuis Alexander Crouch, Susanne May, Ying Qing ChenLifetime Data Analysis|March 2, 2018
Improved precision in the analysis of randomized trials with survival outcomes, without assuming proportional hazardsIván Díaz, Elizabeth Colantuoni, Daniel F Hanley, et al.Lifetime Data Analysis|February 2, 2018
Vertical modeling: analysis of competing risks data with a cure fractionMioara Alina Nicolaie, Jeremy M G Taylor, Catherine LegrandPageof 94