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 From Springer Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing (). Access Statistics for this journal.
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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
Volume 28, issue 4, 2022
- Special issue dedicated to David Oakes pp. 543-545

- Jong H. Jeong and Amita K. Manatunga
- On the targets of inference with multivariate failure time data pp. 546-559

- Ross L. Prentice
- Marker-dependent observation and carry-forward of internal covariates in Cox regression pp. 560-584

- Richard J. Cook, Jerald F. Lawless and Bingfeng Xie
- Inference for transition probabilities in non-Markov multi-state models pp. 585-604

- Per Kragh Andersen, Eva Nina Sparre Wandall and Maja Pohar Perme
- Screening for chronic diseases: optimizing lead time through balancing prescribed frequency and individual adherence pp. 605-636

- John D. Rice, Brent A. Johnson and Robert L. Strawderman
- Accounting for delayed entry into observational studies and clinical trials: length-biased sampling and restricted mean survival time pp. 637-658

- Mei-Ling Ting Lee, John Lawrence, Yiming Chen and G. A. Whitmore
- Bias correction via outcome reassignment for cross-sectional data with binary disease outcome pp. 659-674

- Mei-Cheng Wang and Yuxin Zhu
- Assessing dynamic covariate effects with survival data pp. 675-699

- Ying Cui and Limin Peng
- Choice of time scale for analysis of recurrent events data pp. 700-722

- Philip Hougaard
- Median regression models for clustered, interval-censored survival data - An application to prostate surgery study pp. 723-743

- Debajyoti Sinha, Piyali Basak and Stuart R. Lipsitz
- Semiparametric single-index models for optimal treatment regimens with censored outcomes pp. 744-763

- Jin Wang, Donglin Zeng and D. Y. Lin
Volume 28, issue 3, 2022
- A new approach to estimation of the proportional hazards model based on interval-censored data with missing covariates pp. 335-355

- Ruiwen Zhou, Huiqiong Li, Jianguo Sun and Niansheng Tang
- Mixture survival trees for cancer risk classification pp. 356-379

- Beilin Jia, Donglin Zeng, Jason J. Z. Liao, Guanghan F. Liu, Xianming Tan, Guoqing Diao and Joseph G. Ibrahim
- Longitudinal mediation analysis of time-to-event endpoints in the presence of competing risks pp. 380-400

- Tat-Thang Vo, Hilary Davies-Kershaw, Ruth Hackett and Stijn Vansteelandt
- Optimum test planning for heterogeneous inverse Gaussian processes pp. 401-427

- Chien-Yu Peng, Hideki Nagatsuka and Ya-Shan Cheng
- Semi-supervised approach to event time annotation using longitudinal electronic health records pp. 428-491

- Liang Liang, Jue Hou, Hajime Uno, Kelly Cho, Yanyuan Ma and Tianxi Cai
- Model selection among Dimension-Reduced generalized Cox models pp. 492-511

- Ming-Yueh Huang and Kwun Chuen Gary Chan
- Privacy-preserving estimation of an optimal individualized treatment rule: a case study in maximizing time to severe depression-related outcomes pp. 512-542

- Erica E. M. Moodie, Janie Coulombe, Coraline Danieli, Christel Renoux and Susan M. Shortreed
Volume 28, issue 2, 2022
- A calibrated Bayesian method for the stratified proportional hazards model with missing covariates pp. 169-193

- Soyoung Kim, Jae-Kwang Kim and Kwang Woo Ahn
- Scalable proximal methods for cause-specific hazard modeling with time-varying coefficients pp. 194-218

- Wenbo Wu, Jeremy M. G. Taylor, Andrew F. Brouwer, Lingfeng Luo, Jian Kang, Hui Jiang and Kevin He
- Estimation and inference of predictive discrimination for survival outcome risk prediction models pp. 219-240

- Ruosha Li, Jing Ning and Ziding Feng
- Competing risks regression models with covariates-adjusted censoring weight under the generalized case-cohort design pp. 241-262

- Yayun Xu, Soyoung Kim, Mei-Jie Zhang, David Couper and Kwang Woo Ahn
- Regression analysis of additive hazards model with sparse longitudinal covariates pp. 263-281

- Zhuowei Sun, Hongyuan Cao and Li Chen
- Bayesian penalized Buckley-James method for high dimensional bivariate censored regression models pp. 282-318

- Wenjing Yin, Sihai Dave Zhao and Feng Liang
- Bayesian nonparametric dynamic hazard rates in evolutionary life tables pp. 319-334

- Luis E. Nieto-Barajas
Volume 28, issue 1, 2022
- Prognostic accuracy for predicting ordinal competing risk outcomes using ROC surfaces pp. 1-22

- Song Zhang, Yang Qu, Yu Cheng, Oscar L. Lopez and Abdus S. Wahed
- Nonparametric inference in the accelerated failure time model using restricted means pp. 23-39

- Mihai C. Giurcanu and Theodore G. Karrison
- Sample size calculation for clustered survival data under subunit randomization pp. 40-67

- Jianghao Li and Sin-Ho Jung
- Maximum likelihood estimation for length-biased and interval-censored data with a nonsusceptible fraction pp. 68-88

- Pao-sheng Shen, Yingwei Peng, Hsin-Jen Chen and Chyong-Mei Chen
- Semiparametric analysis of multivariate panel count data with nonlinear interactions pp. 89-115

- Weiwei Wang, Yijun Wang and Xiaobing Zhao
- An additive hazards frailty model with semi-varying coefficients pp. 116-138

- Zhongwen Zhang, Xiaoguang Wang and Yingwei Peng
- Bayesian analysis under accelerated failure time models with error-prone time-to-event outcomes pp. 139-168

- Yanlin Tang, Xinyuan Song and Grace Yun Yi
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