Content
July 2019, Volume 25, Issue 3
- 569-585 An improved variable selection procedure for adaptive Lasso in high-dimensional survival analysis
by Kevin He & Yue Wang & Xiang Zhou & Han Xu & Can Huang
April 2019, Volume 25, Issue 2
- 189-205 Goodness of fit tests for estimating equations based on pseudo-observations
by Klemen Pavlič & Torben Martinussen & Per Kragh Andersen - 206-228 Testing for center effects on survival and competing risks outcomes using pseudo-value regression
by Yanzhi Wang & Brent R. Logan - 229-258 New approaches for censored longitudinal data in joint modelling of longitudinal and survival data, with application to HIV vaccine studies
by Tingting Yu & Lang Wu & Peter Gilbert - 259-279 Parametric estimation of association in bivariate failure-time data subject to competing risks: sensitivity to underlying assumptions
by Jeongyong Kim & Karen Bandeen-Roche - 280-300 The effect of omitted covariates in marginal and partially conditional recurrent event analyses
by Yujie Zhong & Richard J. Cook - 301-321 Nonparametric change point estimation for survival distributions with a partially constant hazard rate
by Alessandra R. Brazzale & Helmut Küchenhoff & Stefanie Krügel & Tobias S. Schiergens & Heiko Trentzsch & Wolfgang Hartl - 322-340 Semiparametric temporal process regression of survival-out-of-hospital
by Tianyu Zhan & Douglas E. Schaubel - 341-360 Reliability analysis of load-sharing systems with memory
by Dewei Wang & Chendi Jiang & Chanseok Park - 361-379 Bayes factors for choosing among six common survival models
by Jiajia Zhang & Timothy Hanson & Haiming Zhou
January 2019, Volume 25, Issue 1
- 1-25 Vertical modeling: analysis of competing risks data with a cure fraction
by Mioara Alina Nicolaie & Jeremy M. G. Taylor & Catherine Legrand - 26-51 A class of semiparametric cure models with current status data
by Guoqing Diao & Ao Yuan - 52-78 Robust estimation in accelerated failure time models
by Sanjoy K. Sinha - 79-96 Model diagnostics for the proportional hazards model with length-biased data
by Chi Hyun Lee & Jing Ning & Yu Shen - 97-127 The wild bootstrap for multivariate Nelson–Aalen estimators
by Tobias Bluhmki & Dennis Dobler & Jan Beyersmann & Markus Pauly - 128-149 Additive hazards model with auxiliary subgroup survival information
by Jie He & Hui Li & Shumei Zhang & Xiaogang Duan - 150-167 The Wally plot approach to assess the calibration of clinical prediction models
by Paul Blanche & Thomas A. Gerds & Claus T. Ekstrøm - 168-188 Mixture regression models for the gap time distributions and illness–death processes
by Chia-Hui Huang
October 2018, Volume 24, Issue 4
- 549-549 Editorial to accompany the discussion paper ‘Survival models and health sequences’ by Walter Dempsey and Peter McCullagh
by Niels Keiding - 550-584 Survival models and health sequences
by Walter Dempsey & Peter McCullagh - 585-587 Discussion of “Survival models and health sequences” by Walter Dempsey and Peter McCullagh
by John D. Kalbfleisch - 588-591 Contribution to the discussion of ‘Survival models and health sequences’ by W. Dempsey and P. McCullagh
by Per Kragh Andersen - 592-594 Survival models and health sequences: discussion
by David Oakes - 595-600 Commentary to the paper by Walter Dempsey and Peter McCullagh
by Hans C. Houwelingen - 601-604 Commentary: Alignment of time scales and joint models
by Kwun Chuen Gary Chan - 605-611 Response to discussants of “survival models and health sequences”
by Walter Dempsey & Peter McCullagh - 612-651 A nonparametric maximum likelihood approach for survival data with observed cured subjects, left truncation and right-censoring
by Jue Hou & Christina D. Chambers & Ronghui Xu - 652-674 Estimating cross quantile residual ratio with left-truncated semi-competing risks data
by Jing Yang & Limin Peng - 675-698 A semiparametric additive rate model for a modulated renewal process
by Xin Chen & Jieli Ding & Liuquan Sun - 699-718 Joint model-based clustering of nonlinear longitudinal trajectories and associated time-to-event data analysis, linked by latent class membership: with application to AIDS clinical studies
by Yangxin Huang & Xiaosun Lu & Jiaqing Chen & Juan Liang & Miriam Zangmeister - 719-742 Investigating the correlation structure of quadrivariate udder infection times through hierarchical Archimedean copulas
by Leen Prenen & Roel Braekers & Luc Duchateau - 743-754 Illness-death model: statistical perspective and differential equations
by Ralph Brinks & Annika Hoyer
July 2018, Volume 24, Issue 3
- 385-406 A joint model of cancer incidence, metastasis, and mortality
by Qui Tran & Kelley M. Kidwell & Alex Tsodikov - 407-424 Group and within-group variable selection for competing risks data
by Kwang Woo Ahn & Anjishnu Banerjee & Natasha Sahr & Soyoung Kim - 425-442 The competing risks Cox model with auxiliary case covariates under weaker missing-at-random cause of failure
by Daniel Nevo & Reiko Nishihara & Shuji Ogino & Molin Wang - 443-463 A regularized variable selection procedure in additive hazards model with stratified case-cohort design
by Ai Ni & Jianwen Cai - 464-491 Flexible semi-parametric regression of state occupational probabilities in a multistate model with right-censored data
by Chathura Siriwardhana & K. B. Kulasekera & Somnath Datta - 492-508 A semiparametric regression cure model for doubly censored data
by Peijie Wang & Xingwei Tong & Jianguo Sun - 509-531 Two-sample tests for survival data from observational studies
by Chenxi Li - 532-547 Practical considerations when analyzing discrete survival times using the grouped relative risk model
by Rachel MacKay Altman & Andrew Henrey
April 2018, Volume 24, Issue 2
- 201-223 Estimation of the cumulative incidence function under multiple dependent and independent censoring mechanisms
by Judith J. Lok & Shu Yang & Brian Sharkey & Michael D. Hughes - 224-249 Reweighted estimators for additive hazard model with censoring indicators missing at random
by Xiaolin Chen & Jianwen Cai - 250-272 Conditional maximum likelihood estimation in semiparametric transformation model with LTRC data
by Chyong-Mei Chen & Pao-Sheng Shen - 273-292 Censored cumulative residual independent screening for ultrahigh-dimensional survival data
by Jing Zhang & Guosheng Yin & Yanyan Liu & Yuanshan Wu - 293-309 Regression analysis of current status data with auxiliary covariates and informative observation times
by Yanqin Feng & Yurong Chen - 310-327 Evaluation of the treatment time-lag effect for survival data
by Kayoung Park & Peihua Qiu - 328-354 Exponentiated Weibull regression for time-to-event data
by Shahedul A. Khan - 355-383 Bayesian bivariate survival analysis using the power variance function copula
by Jose S. Romeo & Renate Meyer & Diego I. Gallardo
January 2018, Volume 24, Issue 1
- 1-2 Special issue dedicated to Jack Kalbfleisch
by Douglas E. Schaubel & Bin Nan - 3-27 Nonparametric estimation of the multivariate survivor function: the multivariate Kaplan–Meier estimator
by Ross L. Prentice & Shanshan Zhao - 28-44 Two-phase outcome-dependent studies for failure times and testing for effects of expensive covariates
by J. F. Lawless - 45-71 Conditional screening for ultra-high dimensional covariates with survival outcomes
by Hyokyoung G. Hong & Jian Kang & Yi Li - 72-93 Variable selection and prediction in biased samples with censored outcomes
by Ying Wu & Richard J. Cook - 94-109 Joint analysis of interval-censored failure time data and panel count data
by Da Xu & Hui Zhao & Jianguo Sun - 110-125 Alternating event processes during lifetimes: population dynamics and statistical inference
by Russell T. Shinohara & Yifei Sun & Mei-Cheng Wang - 126-152 Joint modeling of survival time and longitudinal outcomes with flexible random effects
by Jaeun Choi & Donglin Zeng & Andrew F. Olshan & Jianwen Cai - 153-175 Modeling of semi-competing risks by means of first passage times of a stochastic process
by Beate Sildnes & Bo Henry Lindqvist - 176-199 Modeling restricted mean survival time under general censoring mechanisms
by Xin Wang & Douglas E. Schaubel
October 2017, Volume 23, Issue 4
- 517-532 Association measures for bivariate failure times in the presence of a cure fraction
by Lajmi Lakhal-Chaieb & Thierry Duchesne - 533-559 Causal mediation analysis on failure time outcome without sequential ignorability
by Cheng Zheng & Xiao-Hua Zhou - 560-584 Joint analysis of panel count data with an informative observation process and a dependent terminal event
by Jie Zhou & Haixiang Zhang & Liuquan Sun & Jianguo Sun - 585-604 Optimal treatment regimes for survival endpoints using a locally-efficient doubly-robust estimator from a classification perspective
by Xiaofei Bai & Anastasios A. Tsiatis & Wenbin Lu & Rui Song - 605-625 A new approach to regression analysis of censored competing-risks data
by Yuxue Jin & Tze Leung Lai - 626-650 Regression analysis of current status data in the presence of a cured subgroup and dependent censoring
by Yeqian Liu & Tao Hu & Jianguo Sun - 651-670 Regression analysis of clustered failure time data with informative cluster size under the additive transformation models
by Ling Chen & Yanqin Feng & Jianguo Sun - 671-691 $$L_1$$ L 1 splitting rules in survival forests
by Hoora Moradian & Denis Larocque & François Bellavance
July 2017, Volume 23, Issue 3
- 339-352 Sequential tests for non-proportional hazards data
by Matthias Brückner & Werner Brannath - 353-376 Penalized variable selection in competing risks regression
by Zhixuan Fu & Chirag R. Parikh & Bingqing Zhou - 377-399 Analysis of two-phase sampling data with semiparametric additive hazards models
by Yanqing Sun & Xiyuan Qian & Qiong Shou & Peter B. Gilbert - 400-425 Partitioned log-rank tests for the overall homogeneity of hazard rate functions
by Yukun Liu & Guosheng Yin - 426-438 Estimation of average causal effect using the restricted mean residual lifetime as effect measure
by Zahra Mansourvar & Torben Martinussen - 439-466 Semiparametric partially linear varying coefficient models with panel count data
by Xin He & Xuenan Feng & Xingwei Tong & Xingqiu Zhao - 467-494 Mark-specific additive hazards regression with continuous marks
by Dongxiao Han & Liuquan Sun & Yanqing Sun & Li Qi - 495-515 Generalized accelerated failure time spatial frailty model for arbitrarily censored data
by Haiming Zhou & Timothy Hanson & Jiajia Zhang
April 2017, Volume 23, Issue 2
- 161-182 Landmark estimation of survival and treatment effects in observational studies
by Layla Parast & Beth Ann Griffin - 183-206 Jointly modeling longitudinal proportional data and survival times with an application to the quality of life data in a breast cancer trial
by Hui Song & Yingwei Peng & Dongsheng Tu - 207-222 Nonparametric inference for the joint distribution of recurrent marked variables and recurrent survival time
by Laura M. Yee & Kwun Chuen Gary Chan - 223-253 Additive mixed effect model for recurrent gap time data
by Jieli Ding & Liuquan Sun - 254-274 Longevity and concentration in survival times: the log-scale-location family of failure time models
by Chiara Gigliarano & Ugofilippo Basellini & Marco Bonetti - 275-304 Gini index estimation for lifetime data
by Xiaofeng Lv & Gupeng Zhang & Guangyu Ren - 305-338 Variable selection in discrete survival models including heterogeneity
by Andreas Groll & Gerhard Tutz
January 2017, Volume 23, Issue 1
- 1-2 Editorial
by Mei-Cheng Wang & Chiung-Yu Huang - 3-24 Nonparametric and semiparametric regression estimation for length-biased survival data
by Yu Shen & Jing Ning & Jing Qin - 25-56 Nonparametric estimation in the illness-death model using prevalent data
by Bella Vakulenko-Lagun & Micha Mandel & Yair Goldberg - 57-82 Recent progresses in outcome-dependent sampling with failure time data
by Jieli Ding & Tsui-Shan Lu & Jianwen Cai & Haibo Zhou - 83-101 Regression analysis for bivariate gap time with missing first gap time data
by Chia-Hui Huang & Yi-Hau Chen - 102-112 Acceleration of Expectation-Maximization algorithm for length-biased right-censored data
by Kwun Chuen Gary Chan - 113-135 Empirical likelihood method for non-ignorable missing data problems
by Zhong Guan & Jing Qin - 136-159 Joint modeling of longitudinal and survival data with the Cox model and two-phase sampling
by Rong Fu & Peter B. Gilbert
October 2016, Volume 22, Issue 4
- 473-503 Nonparametric estimation of time-to-event distribution based on recall data in observational studies
by Sedigheh Mirzaei Salehabadi & Debasis Sengupta - 504-530 Semiparametric simultaneous confidence bands for the difference of survival functions
by Nubyra Ahmed & Sundarraman Subramanian - 531-546 On the estimators and tests for the semiparametric hazards regression model
by Seung-Hwan Lee - 547-569 Low-dimensional confounder adjustment and high-dimensional penalized estimation for survival analysis
by Xiaochao Xia & Binyan Jiang & Jialiang Li & Wenyang Zhang - 570-588 Cox regression with missing covariate data using a modified partial likelihood method
by Torben Martinussen & Klaus K. Holst & Thomas H. Scheike - 589-605 A case-base sampling method for estimating recurrent event intensities
by Olli Saarela - 606-625 Mark-specific hazard ratio model with missing multivariate marks
by Michal Juraska & Peter B. Gilbert
July 2016, Volume 22, Issue 3
- 321-342 Analysis of error-prone survival data under additive hazards models: measurement error effects and adjustments
by Ying Yan & Grace Y. Yi - 343-362 Regression analysis of longitudinal data with correlated censoring and observation times
by Yang Li & Xin He & Haiying Wang & Jianguo Sun - 363-381 Copula based flexible modeling of associations between clustered event times
by Candida Geerdens & Gerda Claeskens & Paul Janssen - 382-404 Integrated likelihoods in parametric survival models for highly clustered censored data
by Giuliana Cortese & Nicola Sartori - 405-428 Optimal sequential Bayesian analysis for degradation tests
by Silvia Rodríguez-Narciso & J. Andrés Christen - 429-455 Multivariate mixtures of Erlangs for density estimation under censoring
by Roel Verbelen & Katrien Antonio & Gerda Claeskens - 456-471 Semiparametric model for semi-competing risks data with application to breast cancer study
by Renke Zhou & Hong Zhu & Melissa Bondy & Jing Ning
April 2016, Volume 22, Issue 2
- 161-190 Estimating the survival function based on the semi-Markov model for dependent censoring
by Ziqiang Zhao & Ming Zheng & Zhezhen Jin - 191-215 Time-varying coefficients in a multivariate frailty model: Application to breast cancer recurrences of several types and death
by Yassin Mazroui & Audrey Mauguen & Simone Mathoulin-Pélissier & Gaetan MacGrogan & Véronique Brouste & Virginie Rondeau - 216-240 Two new defective distributions based on the Marshall–Olkin extension
by Ricardo Rocha & Saralees Nadarajah & Vera Tomazella & Francisco Louzada - 241-262 Boosting multi-state models
by Holger Reulen & Thomas Kneib - 263-279 Estimating the concordance probability in a survival analysis with a discrete number of risk groups
by Glenn Heller & Qianxing Mo - 280-298 A log rank type test in observational survival studies with stratified sampling
by Xiaofei Bai & Anastasios A. Tsiatis - 299-319 On estimation of covariate-specific residual time quantiles under the proportional hazards model
by Luis Alexander Crouch & Susanne May & Ying Qing Chen
January 2016, Volume 22, Issue 1
- 1-16 A semiparametric copula method for Cox models with covariate measurement error
by Sehee Kim & Yi Li & Donna Spiegelman - 17-37 Comparing center-specific cumulative incidence functions
by Ludi Fan & Douglas E. Schaubel - 38-62 Proportional exponentiated link transformed hazards (ELTH) models for discrete time survival data with application
by Hee-Koung Joeng & Ming-Hui Chen & Sangwook Kang - 63-99 A consistent NPMLE of the joint distribution function with competing risks data under the dependent masking and right-censoring model
by Jiahui Li & Qiqing Yu - 100-121 Non-crossing weighted kernel quantile regression with right censored data
by Sungwan Bang & Soo-Heang Eo & Yong Mee Cho & Myoungshic Jhun & HyungJun Cho - 122-144 Simultaneous confidence bands for Cox regression from semiparametric random censorship
by Shoubhik Mondal & Sundarraman Subramanian - 145-160 Joint modeling of recurrent event processes and intermittently observed time-varying binary covariate processes
by Shanshan Li