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Lifetime Data Analysis|April 11, 2020
Analysis of the time-varying Cox model for the cause-specific hazard functions with missing causesFei Heng, Yanqing Sun, Seunggeun Hyun, et al.Lifetime Data Analysis|March 6, 2004
The perpetual student: modeling duration of undergraduate studies based on lifetime-type educational dataAglaia G Kalamatianou, Sally McCleanLifetime Data Analysis|May 8, 2004
Tests for comparing mark-specific hazards and cumulative incidence functionsPeter B Gilbert, Ian W McKeague, Yanqing SunLifetime Data Analysis|May 8, 2004
Incorporating follow-up time in M-estimation for survival dataGlenn HellerLifetime Data Analysis|May 8, 2004
Statistical analysis of linear degradation and failure time data with multiple failure modesVilijandas Bagdonavicius, Algimantas Bikelis, Vytautas KazakeviciusLifetime Data Analysis|January 16, 2022
Competing risks regression models with covariates-adjusted censoring weight under the generalized case-cohort designYayun Xu, Soyoung Kim, Mei-Jie Zhang, et al.Lifetime Data Analysis|September 20, 2022
Flexible two-piece distributions for right censored survival dataWorku B Ewnetu, Irène Gijbels, Anneleen VerhasseltLifetime Data Analysis|November 5, 2021
Bivariate pseudo-observations for recurrent event analysis with terminal eventsJulie K Furberg, Per K Andersen, Sofie Korn, et al.Lifetime Data Analysis|October 8, 2022
A flexible parametric approach for analyzing arbitrarily censored data that are potentially subject to left truncation under the proportional hazards modelPrabhashi W Withana Gamage, Christopher S McMahan, Lianming WangLifetime Data Analysis|July 8, 2011
Combined survival analysis of cardiac patients by a Cox PH model and a Markov chainMichal Shauly, Gad Rabinowitz, Harel Gilutz, et al.Pageof 94