Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data

2016 - 2026

Current editor(s): Mei-Ling Ting Lee

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Volume 32, issue 1, 2026

Reliability and estimation of the zero-inflated transmuted geometric distribution with applications and actuarial insights pp. 1-29

Kalpasree Sharma, Partha Jyoti Hazarika, Mohamed S. Eliwa and Mahmoud El-Morshedy

Integrating high-dimensional censored data under privacy constraints via localized computations pp. 1-22

Bingyao Huang, Yanyan Liu and Xin Ye

Continuously updated estimation of conditional hazard functions pp. 1-22

Daphné Aurouet and Valentin Patilea

Deep learning for the change-point Cox model with current status data pp. 1-22

Qiyue Huang, Anyin Feng, Qiang Wu and Xingwei Tong

Estimation of the interpretable heterogeneous treatment effect with causal subgroup discovery in survival outcomes pp. 1-26

Na Bo and Ying Ding

Beyond Bonferroni: new multiple contrast tests for time-to-event data under non-proportional hazards pp. 1-19

Ina Dormuth, Carolin Herrmann, Frank Konietschke, Markus Pauly, Matthias Wirth and Marc Ditzhaus

Generalized win-odds regression models for composite endpoints pp. 1-24

Bang Wang, Zi Wang and Yu Cheng

A flexible copula model for bivariate survival data with dependent censoring pp. 1-18

Reuben Adatorwovor and Yinghao Pan

Confidence intervals for high-dimensional accelerated failure time models under measurement errors pp. 1-18

Qin Yu, Xin Zhou, Jia Zhou and Zemin Zheng

Wasserstein GAN-based estimation for conditional distribution function with current status data pp. 1-23

Wen Su, Changyu Liu, Guosheng Yin and Jian Huang

Two-stage recurrent events random effects models pp. 1-28

Thomas Harder Scheike

Deep tobit model: an integrated framework for high-dimensional censored regression with variable selection pp. 1-28

Tong Wu, Jiawen Hu, Zhi-Sheng Ye and Nan Chen

Bayesian semiparametric partially linear cure models with partly interval-censored data pp. 1-34

Yuyang Guo, Chunjie Wang and Xiaoyu Liu

On Multiple Time Scales and Collapsibility pp. 1-9

David Oakes

Volume 31, issue 4, 2025

Pseudo-observations and super learner for the estimation of the restricted mean survival time pp. 713-746

Ariane Cwiling, Vittorio Perduca and Olivier Bouaziz

A comparison of Kaplan–Meier-based inverse probability of censoring weighted regression methods pp. 747-783

Morten Overgaard

Assessing delayed treatment benefits of immunotherapy using long-term average hazard: a novel test/estimation approach pp. 784-809

Miki Horiguchi, Lu Tian, Kenneth L. Kehl and Hajime Uno

Statistical methods for composite analysis of recurrent and terminal events in clinical trials pp. 810-829

Yiyuan Huang, Douglas Schaubel and Min Zhang

Simultaneous clustering and joint modeling of multivariate binary longitudinal and time-to-event data pp. 830-851

Srijan Chattopadhyay, Sevantee Basu, Swapnaneel Bhattacharyya, Manash Pratim Gogoi and Kiranmoy Das

Analysis of interval censored survival data in sequential multiple assignment randomized trials pp. 852-868

Zhiguo Li

Multi-source analyses of average treatment effects with failure time outcomes pp. 869-897

Lan Wen, Jon A. Steingrimsson, Sarah E. Robertson and Issa J. Dahabreh

Causal effect estimation on restricted mean survival time under case-cohort design via propensity score stratification pp. 898-931

Wei-En Lu and Ai Ni

Bayesian joint models for longitudinal, recurrent, and terminal event data pp. 932-949

Emily M. Damone, Matthew A. Psioda and Joseph G. Ibrahim

Bayesian joint analysis of longitudinal data and interval-censored failure time data pp. 950-969

Yuchen Mao, Lianming Wang and Xuemei Sui

Bayesian generalized method of moments applied to pseudo-observations in survival analysis pp. 970-993

Léa Orsini, Caroline Brard, Emmanuel Lesaffre, Guosheng Yin, David Dejardin and Gwénaël Le Teuff

Modelling dependent censoring in time-to-event data using boosting copula regression pp. 994-1016

Annika Strömer, Nadja Klein, Ingrid Van Keilegom and Andreas Mayr

Volume 31, issue 3, 2025

Integrative analysis of high-dimensional RCT and RWD subject to censoring and hidden confounding pp. 473-497

Xin Ye, Shu Yang, Xiaofei Wang and Yanyan Liu

Regression analysis of a graphical proportional hazards model for informatively left-truncated current status data pp. 498-542

Mengyue Zhang, Shishu Zhao, Shuying Wang and Xiaolin Xu

Investigating network structures in recurrent event data with discrete observation times pp. 543-573

Yufeng Xia, Yangkuo Li, Xiaobing Zhao and Xuan Xu

Design and analysis of individually randomized group-treatment trials with time to event outcomes pp. 574-594

Sin-Ho Jung

Shape-constrained estimation for current duration data in cross-sectional studies pp. 595-630

Chi Wing Chu and Hok Kan Ling

Wild bootstrap for counting process-based statistics: a martingale theory-based approach pp. 631-657

Marina T. Dietrich, Dennis Dobler and Mathisca C. M. Gunst

Bayesian bivariate cure rate models using Gaussian copulas pp. 658-673

Seoyoon Cho, Matthew A. Psioda and Joseph G. Ibrahim

Estimation and variable selection for semiparametric transformation models with length-biased survival data pp. 674-701

Jih-Chang Yu and Yu-Jen Cheng

Estimating the risk of cancer with and without a screening history pp. 702-712

Dongfeng Wu

Volume 31, issue 2, 2025

Goodness-of-fit testing in the presence of cured data: IPCW approach pp. 233-252

Marija Cuparić and Bojana Milošević

Quantile regression under dependent censoring with unknown association pp. 253-299

Myrthe D’Haen, Ingrid Van Keilegom and Anneleen Verhasselt

Lifetime analysis with monotonic degradation: a boosted first hitting time model based on a homogeneous gamma process pp. 300-339

Clara Bertinelli Salucci, Azzeddine Bakdi, Ingrid Kristine Glad, Bo Henry Lindqvist, Erik Vanem and Riccardo De Bin

A pairwise pseudo-likelihood approach for regression analysis of doubly truncated data pp. 340-363

Cunjin Zhao, Peijie Wang and Jianguo Sun

Robust inverse probability weighted estimators for doubly truncated Cox regression with closed-form standard errors pp. 364-393

Omar Vazquez and Sharon X. Xie

A flexible Bayesian g-formula for causal survival analyses with time-dependent confounding pp. 394-421

Xinyuan Chen, Liangyuan Hu and Fan Li

Total time on test-based goodness-of-fit statistics for the reciprocal property in fatigue-life models pp. 422-441

Cecilia Castro, Marta Azevedo, Víctor Leiva and Luís Meira-Machado

Author correction to: “causal survival analysis under competing risks using longitudinal modified treatment policies” pp. 442-471

Iván Díaz, Nicholas Williams, Katherine L. Hoffman and Nima S. Hejazi

Volume 31, issue 1, 2025

Evaluating time-to-event surrogates for time-to-event true endpoints: an information-theoretic approach based on causal inference pp. 1-23

Florian Stijven, Geert Molenberghs, Ingrid Keilegom, Wim Elst and Ariel Alonso

Optimal survival analyses with prevalent and incident patients pp. 24-51

Nicholas Hartman

Two-stage pseudo maximum likelihood estimation of semiparametric copula-based regression models for semi-competing risks data pp. 52-75

Sakie J. Arachchige, Xinyuan Chen and Qian M. Zhou

Nonparametric estimation of the cumulative incidence function for doubly-truncated and interval-censored competing risks data pp. 76-101

Pao-sheng Shen

A class of semiparametric models for bivariate survival data pp. 102-125

Walmir Reis Miranda Filho and Fábio Nogueira Demarqui

Proportional rates model for recurrent event data with intermittent gaps and a terminal event pp. 126-148

Jin Jin, Xinyuan Song, Liuquan Sun and Pei-Fang Su

Right-censored models by the expectile method pp. 149-186

Gabriela Ciuperca

Conditional modeling of recurrent event data with terminal event pp. 187-204

Weiyu Fang, Jie Zhou and Mengqi Xie

A global kernel estimator for partially linear varying coefficient additive hazards models pp. 205-232

Hoi Min Ng and Kin Yau Wong