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Lifetime 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.Lifetime Data Analysis|September 26, 2015
Jointly modeling longitudinal proportional data and survival times with an application to the quality of life data in a breast cancer trialHui Song, Yingwei Peng, Dongsheng TuLifetime Data Analysis|January 16, 2015
Z-estimation and stratified samples: application to survival modelsNorman E Breslow, Jie Hu, Jon A WellnerLifetime Data Analysis|October 16, 2015
A case-base sampling method for estimating recurrent event intensitiesOlli SaarelaPageof 94