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

2016 - 2025

Current editor(s): Mei-Ling Ting Lee

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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

Volume 30, issue 4, 2024

Partial-linear single-index transformation models with censored data pp. 701-720

Myeonggyun Lee, Andrea B. Troxel and Mengling Liu

A flexible time-varying coefficient rate model for panel count data pp. 721-741

Dayu Sun, Yuanyuan Guo, Yang Li, Jianguo Sun and Wanzhu Tu

Copula-based analysis of dependent current status data with semiparametric linear transformation model pp. 742-775

Huazhen Yu, Rui Zhang and Lixin Zhang

Nested case–control sampling without replacement pp. 776-799

Yei Eun Shin and Takumi Saegusa

Unifying mortality forecasting model: an investigation of the COM–Poisson distribution in the GAS model for improved projections pp. 800-826

Suryo Adi Rakhmawan, Tahir Mahmood, Nasir Abbas and Muhammad Riaz

Spatiotemporal multilevel joint modeling of longitudinal and survival outcomes in end-stage kidney disease pp. 827-852

Esra Kürüm, Danh V. Nguyen, Qi Qian, Sudipto Banerjee, Connie M. Rhee and Damla Şentürk

Call for papers for a special issue on survival analysis in artificial intelligence pp. 853-854

Xingqiu Zhao

Volume 30, issue 3, 2024

Special issue dedicated to Mitchell H. Gail, M.D. Ph.D pp. 529-530

Mei-Ling Ting Lee

Competing risks and multivariate outcomes in epidemiological and clinical trial research pp. 531-548

R. L. Prentice

Risk projection for time-to-event outcome from population-based case–control studies leveraging summary statistics from the target population pp. 549-571

Jiayin Zheng and Li Hsu

Cox model inference for relative hazard and pure risk from stratified weight-calibrated case-cohort data pp. 572-599

Lola Etievant and Mitchell H. Gail

Measurement error models with zero inflation and multiple sources of zeros, with applications to hard zeros pp. 600-623

Anindya Bhadra, Rubin Wei, Ruth Keogh, Victor Kipnis, Douglas Midthune, Dennis W. Buckman, Ya Su, Ananya Roy Chowdhury and Raymond J. Carroll

A constrained maximum likelihood approach to developing well-calibrated models for predicting binary outcomes pp. 624-648

Yaqi Cao, Weidong Ma, Ge Zhao, Anne Marie McCarthy and Jinbo Chen

On the role of Volterra integral equations in self-consistent, product-limit, inverse probability of censoring weighted, and redistribution-to-the-right estimators for the survival function pp. 649-666

Robert L. Strawderman and Benjamin R. Baer

Regression analysis of doubly censored failure time data with ancillary information pp. 667-679

Mingyue Du, Xiyuan Gao and Ling Chen

A Bayesian quantile joint modeling of multivariate longitudinal and time-to-event data pp. 680-699

Damitri Kundu, Shekhar Krishnan, Manash Pratim Gogoi and Kiranmoy Das

Volume 30, issue 2, 2024

Efficiency of the Breslow estimator in semiparametric transformation models pp. 291-309

Theresa P. Devasia and Alexander Tsodikov

Bias reduction for semi-competing risks frailty model with rare events: application to a chronic kidney disease cohort study in South Korea pp. 310-326

Jayoun Kim, Boram Jeong, Il Do Ha, Kook-Hwan Oh, Ji Yong Jung, Jong Cheol Jeong and Donghwan Lee

A Bayesian proportional hazards mixture cure model for interval-censored data pp. 327-344

Chun Pan, Bo Cai and Xuemei Sui

Quantile difference estimation with censoring indicators missing at random pp. 345-382

Cui-Juan Kong and Han-Ying Liang

Bias of the additive hazard model in the presence of causal effect heterogeneity pp. 383-403

Richard A. J. Post, Edwin R. van den Heuvel and Hein Putter

The built-in selection bias of hazard ratios formalized using structural causal models pp. 404-438

Richard A. J. Post, Edwin R. den Heuvel and Hein Putter

Pseudo-value regression trees pp. 439-471

Alina Schenk, Moritz Berger and Matthias Schmid

On variable selection in a semiparametric AFT mixture cure model pp. 472-500

Motahareh Parsa, Seyed Mahmood Taghavi-Shahri and Ingrid Van Keilegom

Model averaging for right censored data with measurement error pp. 501-527

Zhongqi Liang, Caiya Zhang and Linjun Xu

Volume 30, issue 1, 2024

Preface pp. 1-3

Jialiang Li and Stijn Vansteelandt

Targeted maximum likelihood estimation for causal inference in survival and competing risks analysis pp. 4-33

Helene C. W. Rytgaard and Mark J. Laan

RKHS-based covariate balancing for survival causal effect estimation pp. 34-58

Wu Xue, Xiaoke Zhang, Kwun Chuen Gary Chan and Raymond K. W. Wong

Causal inference with recurrent and competing events pp. 59-118

Matias Janvin, Jessica G. Young, Pål C. Ryalen and Mats J. Stensrud

Model-based hypothesis tests for the causal mediation of semi-competing risks pp. 119-142

Yun-Lin Ho, Ju-Sheng Hong and Yen-Tsung Huang

Estimation of separable direct and indirect effects in a continuous-time illness-death model pp. 143-180

Marie Skov Breum, Anders Munch, Thomas A. Gerds and Torben Martinussen

Dynamic Treatment Regimes Using Bayesian Additive Regression Trees for Censored Outcomes pp. 181-212

Xiao Li, Brent R. Logan, S. M. Ferdous Hossain and Erica E. M. Moodie

Causal survival analysis under competing risks using longitudinal modified treatment policies pp. 213-236

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

Sensitivity Analysis for Observational Studies with Recurrent Events pp. 237-261

Jeffrey Zhang and Dylan S. Small

Assessing model prediction performance for the expected cumulative number of recurrent events pp. 262-289

Olivier Bouaziz

Volume 29, issue 4, 2023

Cox (1972): recollections and reflections pp. 699-708

David Oakes

A nonparametric instrumental approach to confounding in competing risks models pp. 709-734

Jad Beyhum, Jean-Pierre Florens and Ingrid Keilegom

Volume under the ROC surface for high-dimensional independent screening with ordinal competing risk outcomes pp. 735-751

Yang Qu and Yu Cheng

Evaluation of the natural history of disease by combining incident and prevalent cohorts: application to the Nun Study pp. 752-768

Daewoo Pak, Jing Ning, Richard J. Kryscio and Yu Shen

Quantile forward regression for high-dimensional survival data pp. 769-806

Eun Ryung Lee, Seyoung Park, Sang Kyu Lee and Hyokyoung G. Hong

Regression analysis of general mixed recurrent event data pp. 807-822

Ryan Sun, Dayu Sun, Liang Zhu and Jianguo Sun

Improving marginal hazard ratio estimation using quadratic inference functions pp. 823-853

Hongkai Liang, Xiaoguang Wang, Yingwei Peng and Yi Niu

Estimation and testing for clustered interval-censored bivariate survival data with application using the semi-parametric version of the Clayton–Oakes model pp. 854-887

Bernard Rosner, Camden Bay, Robert J. Glynn, Gui-shuang Ying, Maureen G. Maguire and Mei-Ling Ting Lee

Bayesian semiparametric joint model of multivariate longitudinal and survival data with dependent censoring pp. 888-918

An-Min Tang, Nian-Sheng Tang and Dalei Yu

Volume 29, issue 3, 2023

Investigating non-inferiority or equivalence in time-to-event data under non-proportional hazards pp. 483-507

Kathrin Möllenhoff and Achim Tresch

Semiparametric predictive inference for failure data using first-hitting-time threshold regression pp. 508-536

Mei-Ling Ting Lee and G. A. Whitmore

On a simple estimation of the proportional odds model under right truncation pp. 537-554

Peng Liu, Kwun Chuen Gary Chan and Ying Qing Chen

Consistent and robust inference in hazard probability and odds models with discrete-time survival data pp. 555-584

Zhiqiang Tan

Incorporating delayed entry into the joint frailty model for recurrent events and a terminal event pp. 585-607

Marie Böhnstedt, Jutta Gampe, Monique A. A. Caljouw and Hein Putter

Latency function estimation under the mixture cure model when the cure status is available pp. 608-627

Wende Clarence Safari, Ignacio López- de-Ullibarri and María Amalia Jácome

A semi-parametric weighted likelihood approach for regression analysis of bivariate interval-censored outcomes from case-cohort studies pp. 628-653

Yichen Lou, Peijie Wang and Jianguo Sun

Regression models for censored time-to-event data using infinitesimal jack-knife pseudo-observations, with applications to left-truncation pp. 654-671

Erik T. Parner, Per K. Andersen and Morten Overgaard

Combined estimating equation approaches for the additive hazards model with left-truncated and interval-censored data pp. 672-697

Tianyi Lu, Shuwei Li and Liuquan Sun

Volume 29, issue 2, 2023

Special issue dedicated to Ørnulf Borgan pp. 253-255

S. O. Samuelsen and O. O. Aalen

Bivariate pseudo-observations for recurrent event analysis with terminal events pp. 256-287

Julie K. Furberg, Per K. Andersen, Sofie Korn, Morten Overgaard and Henrik Ravn

Estimating distribution of length of stay in a multi-state model conditional on the pathway, with an application to patients hospitalised with Covid-19 pp. 288-317

Ruth H. Keogh, Karla Diaz-Ordaz, Nicholas P. Jewell, Malcolm G. Semple, Liesbeth C. de Wreede and Hein Putter

Phase-type models for competing risks, with emphasis on identifiability issues pp. 318-341

Bo Henry Lindqvist

Analysis and asymptotic theory for nested case–control designs under highly stratified proportional hazards models pp. 342-371

Larry Goldstein and Bryan Langholz

The partly parametric and partly nonparametric additive risk model pp. 372-402

Nils Lid Hjort and Emil Aas Stoltenberg

Cox regression can be collapsible and Aalen regression can be non-collapsible pp. 403-419

Sven Ove Samuelsen

A boosting first-hitting-time model for survival analysis in high-dimensional settings pp. 420-440

Riccardo De Bin and Vegard Grødem Stikbakke

On logistic regression with right censored data, with or without competing risks, and its use for estimating treatment effects pp. 441-482

Paul Frédéric Blanche, Anders Holt and Thomas Scheike

Volume 29, issue 1, 2023

Joint modeling of generalized scale-change models for recurrent event and failure time data pp. 1-33

Xiaoyu Wang and Liuquan Sun

Flexible two-piece distributions for right censored survival data pp. 34-65

Worku B. Ewnetu, Irène Gijbels and Anneleen Verhasselt

A general class of promotion time cure rate models with a new biological interpretation pp. 66-86

Yolanda M. Gómez, Diego I. Gallardo, Marcelo Bourguignon, Eduardo Bertolli and Vinicius F. Calsavara

Semiparametric regression analysis of doubly-censored data with applications to incubation period estimation pp. 87-114

Kin Yau Wong, Qingning Zhou and Tao Hu

Double bias correction for high-dimensional sparse additive hazards regression with covariate measurement errors pp. 115-141

Xiaobo Wang, Jiayu Huang, Guosheng Yin, Jian Huang and Yuanshan Wu

A uniformisation-driven algorithm for inference-related estimation of a phase-type ageing model pp. 142-187

Boquan Cheng and Rogemar Mamon

A flexible parametric approach for analyzing arbitrarily censored data that are potentially subject to left truncation under the proportional hazards model pp. 188-212

Prabhashi W. Withana Gamage, Christopher S. McMahan and Lianming Wang

Bayesian Design of Clinical Trials Using Joint Cure Rate Models for Longitudinal and Time-to-Event Data pp. 213-233

Jiawei Xu, Matthew A. Psioda and Joseph G. Ibrahim

A series of two-sample non-parametric tests for quantile residual life time pp. 234-252

Yimeng Liu, Liwen Wu, Gong Tang and Abdus S. Wahed