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 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
Volume 27, issue 4, 2021
- Instrumental variable estimation of early treatment effect in randomized screening trials pp. 537-560

- Sudipta Saha, Zhihui Liu and Olli Saarela
- Weighted Lindley frailty model: estimation and application to lung cancer data pp. 561-587

- Alex Mota, Eder A. Milani, Vinicius F. Calsavara, Vera L. D. Tomazella, Jeremias Leão, Pedro L. Ramos, Paulo H. Ferreira and Francisco Louzada
- A generalized theory of separable effects in competing event settings pp. 588-631

- Mats J. Stensrud, Miguel A. Hernán, Eric J Tchetgen Tchetgen, James M. Robins, Vanessa Didelez and Jessica G. Young
- Conditional screening for ultrahigh-dimensional survival data in case-cohort studies pp. 632-661

- Jing Zhang, Haibo Zhou, Yanyan Liu and Jianwen Cai
- The MLE of the uniform distribution with right-censored data pp. 662-678

- Qiqing Yu
- An efficient Gehan-type estimation for the accelerated failure time model with clustered and censored data pp. 679-709

- Liya Fu, Zhuoran Yang, Yan Zhou and You-Gan Wang
- Continuous and discrete-time survival prediction with neural networks pp. 710-736

- Håvard Kvamme and Ørnulf Borgan
- A hybrid landmark Aalen-Johansen estimator for transition probabilities in partially non-Markov multi-state models pp. 737-760

- Niklas Maltzahn, Rune Hoff, Odd O. Aalen, Ingrid S. Mehlum, Hein Putter and Jon Michael Gran
Volume 27, issue 3, 2021
- Information measures and design issues in the study of mortality deceleration: findings for the gamma-Gompertz model pp. 333-356

- Marie Böhnstedt, Jutta Gampe and Hein Putter
- The semiparametric accelerated trend-renewal process for recurrent event data pp. 357-387

- Chien-Lin Su, Russell J. Steele and Ian Shrier
- Estimating duration distribution aided by auxiliary longitudinal measures in presence of missing time origin pp. 388-412

- Yi Xiong, W. John Braun and X. Joan Hu
- Regression analysis of current status data with latent variables pp. 413-436

- Chunjie Wang, Bo Zhao, Linlin Luo and Xinyuan Song
- A varying-coefficient model for gap times between recurrent events pp. 437-459

- J. E. Soh and Yijian Huang
- Augmented likelihood for incorporating auxiliary information into left-truncated data pp. 460-480

- Yidan Shi, Leilei Zeng, Mary E. Thompson and Suzanne L. Tyas
- OptBand: optimization-based confidence bands for functions to characterize time-to-event distributions pp. 481-498

- T. Chen, S. Tracy and H. Uno
- Factor copula models for right-censored clustered survival data pp. 499-535

- Eleanderson Campos, Roel Braekers, Devanil J. Souza and Lucas M. Chaves
Volume 27, issue 2, 2021
- The ROC of Cox proportional hazards cure models with application in cancer studies pp. 195-215

- Yilong Zhang, Xiaoxia Han and Yongzhao Shao
- Testing equivalence of survival before but not after end of follow-up pp. 216-243

- Julie K. Furberg, Christian B. Pipper and Thomas Scheike
- An additive hazards cure model with informative interval censoring pp. 244-268

- Shuying Wang, Chunjie Wang and Jianguo Sun
- Semiparametric regression based on quadratic inference function for multivariate failure time data with auxiliary information pp. 269-299

- Feifei Yan, Lin Zhu, Yanyan Liu, Jianwen Cai and Haibo Zhou
- Optimal designs for discrete-time survival models with random effects pp. 300-332

- Xiao-Dong Zhou, Yun-Juan Wang and Rong-Xian Yue
Volume 27, issue 1, 2021
- The added value of new covariates to the brier score in cox survival models pp. 1-14

- Glenn Heller
- Accelerated failure time model for data from outcome-dependent sampling pp. 15-37

- Jichang Yu, Haibo Zhou and Jianwen Cai
- Left-censored dementia incidences in estimating cohort effects pp. 38-63

- Rafael Weißbach, Yongdai Kim, Achim Dörre, Anne Fink and Gabriele Doblhammer
- Joint modeling of longitudinal continuous, longitudinal ordinal, and time-to-event outcomes pp. 64-90

- Khurshid Alam, Arnab Maity, Sanjoy K. Sinha, Dimitris Rizopoulos and Abdus Sattar
- EM algorithm for the additive risk mixture cure model with interval-censored data pp. 91-130

- Xiaoguang Wang and Ziwen Wang
- Firth adjusted score function for monotone likelihood in the mixture cure fraction model pp. 131-155

- Frederico Machado Almeida, Enrico Antônio Colosimo and Vinícius Diniz Mayrink
- A dependent Dirichlet process model for survival data with competing risks pp. 156-176

- Yushu Shi, Purushottam Laud and Joan Neuner
- Semi-parametric survival analysis via Dirichlet process mixtures of the First Hitting Time model pp. 177-194

- Jonathan A. Race and Michael L. Pennell
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