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 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
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
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