Accelerated failure time models for the analysis of competing risks

Austin, 2016, Introduction to the analysis of survival data in the presence of competing risks, Circulation, 133, 601, 10.1161/CIRCULATIONAHA.115.017719 Beyersmann, 2012 Chiou, 2014, Fitting accelerated failure time models in routine survival analysis with R package aftgee, Journal of Statistical Software, 61, 11, 10.18637/jss.v061.i11 Choi, 2014, Maximum likelihood estimation of semiparametric mixture component models for competing risks data, Bioemtrics, 70, 588, 10.1111/biom.12167 Choi, 2018, Semiparametric accelerated failure time cure rate mixture models with competing risks, Statistics in Medicine, 37, 48, 10.1002/sim.7508 Dignam, 2012, The use and interpretation of competing risks regression models, Clinical Cancer Research, 18, 2301, 10.1158/1078-0432.CCR-11-2097 Fine, 1999, A proportional hazards model for the subdistribution of a competing risk, Journal of the American Statistical Association, 94, 496, 10.1080/01621459.1999.10474144 Freidlin, 2005, Testing treatment effects in the presence of competing risks, Statistics in Medicine, 24, 1703, 10.1002/sim.2054 Gaynor, 1993, On the use of cause-specific failure and conditional failure probabilities - examples from clinical oncology data, Journal of the American Statistical Association, 88, 400, 10.1080/01621459.1993.10476289 Gray, 1988, A class of k-sample tests for comparing the cumulative incidence function in the presence of a competing risk, The Annals of Statistics, 16, 1141, 10.1214/aos/1176350951 Haller, 2013, Applying competing risks regression models: an overview, Lifetime Data Analysis, 19, 33, 10.1007/s10985-012-9230-8 Jin, 2016, Semiparametric accelerated failure time model for the analysis of right censored data, Communications for Statistical Applications and Methods, 23, 467, 10.5351/CSAM.2016.23.6.467 Jin, 2003, Rank-based inference for the accelerated failure time model, Biometrika, 90, 341, 10.1093/biomet/90.2.341 Kalbfleisch, 2002 Kim, 2006, Cumulative incidence in competing risks data and competing risks regression analysis, Clinical Cancer Research, 13, 559, 10.1158/1078-0432.CCR-06-1210 Klein, 2005, Regression modeling of competing risks data based on pseudo-values of the cumulative incidence function, Bioemtrics, 61, 223, 10.1111/j.0006-341X.2005.031209.x Lau, 2009, Competing risk regression models for epidemiologic data, American Journal of Epidemiology, 170, 244, 10.1093/aje/kwp107 Lau, 2011, Parametric mixture models to evaluate and summarize hazard ratios in the presence of competing risks with time-dependent hazards and delayed entry, Statistics in Medicine, 30, 654, 10.1002/sim.4123 Lin, 1997, Nonparametric inference for cumulative incidence functions in competing risks studies, Statistics in Medicine, 16, 901, 10.1002/(SICI)1097-0258(19970430)16:8<901::AID-SIM543>3.0.CO;2-M Peng, 2009, Competing risks quantile regression, Journal of the American Statistical Association, 104, 1440, 10.1198/jasa.2009.tm08228 Pepe, 1993, Kaplan–Meier, marginal or conditional probability curves in summarizing competing risks failure time data, Statistics in Medicine, 12, 737, 10.1002/sim.4780120803 Pintilie, 2007 Prentice, 1978, The analysis of failure times in the presence of competing risks, Bioemtrics, 34, 541, 10.2307/2530374 Putter, 2007, Tutorial in biostatistics: competing risks and multi-state models, Statistics in Medicine, 26, 2389, 10.1002/sim.2712 Robins, 1992, Recovery of information and adjustment for dependent censoring using surrogate markers, 297 Tsiatis, 1975, A nonidentifiability aspect of the problem of competing risks, Proceeding of National Academy of Science, 72, 20, 10.1073/pnas.72.1.20 Wei, 1990, Linear regression analysis of censored survival data based on rank tests, Biometrika, 77, 845, 10.1093/biomet/77.4.845