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Regression analysis of doubly censored failure time data with ancillary information Lifetime Data Anal. (IF 1.3) Pub Date : 2024-04-20 Mingyue Du, Xiyuan Gao, Ling Chen
Doubly censored failure time data occur in many areas and for the situation, the failure time of interest usually represents the elapsed time between two related events such as an infection and the resulting disease onset. Although many methods have been proposed for regression analysis of such data, most of them are conditional on the occurrence time of the initial event and ignore the relationship
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Partial-linear single-index transformation models with censored data Lifetime Data Anal. (IF 1.3) Pub Date : 2024-04-16 Myeonggyun Lee, Andrea B. Troxel, Mengling Liu
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Cox model inference for relative hazard and pure risk from stratified weight-calibrated case-cohort data Lifetime Data Anal. (IF 1.3) Pub Date : 2024-04-02
Abstract The case-cohort design obtains complete covariate data only on cases and on a random sample (the subcohort) of the entire cohort. Subsequent publications described the use of stratification and weight calibration to increase efficiency of estimates of Cox model log-relative hazards, and there has been some work estimating pure risk. Yet there are few examples of these options in the medical
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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 Lifetime Data Anal. (IF 1.3) Pub Date : 2024-03-21
Abstract This paper reconsiders several results of historical and current importance to nonparametric estimation of the survival distribution for failure in the presence of right-censored observation times, demonstrating in particular how Volterra integral equations help inter-connect the resulting estimators. The paper begins by considering Efron’s self-consistency equation, introduced in a seminal
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Model averaging for right censored data with measurement error Lifetime Data Anal. (IF 1.3) Pub Date : 2024-03-13 Zhongqi Liang, Caiya Zhang, Linjun Xu
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Bias of the additive hazard model in the presence of causal effect heterogeneity Lifetime Data Anal. (IF 1.3) Pub Date : 2024-03-11 Richard A. J. Post, Edwin R. van den Heuvel, Hein Putter
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On variable selection in a semiparametric AFT mixture cure model Lifetime Data Anal. (IF 1.3) Pub Date : 2024-03-04
Abstract In clinical studies, one often encounters time-to-event data that are subject to right censoring and for which a fraction of the patients under study never experience the event of interest. Such data can be modeled using cure models in survival analysis. In the presence of cure fraction, the mixture cure model is popular, since it allows to model probability to be cured (called the incidence)
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A Bayesian quantile joint modeling of multivariate longitudinal and time-to-event data Lifetime Data Anal. (IF 1.3) Pub Date : 2024-03-01 Damitri Kundu, Shekhar Krishnan, Manash Pratim Gogoi, Kiranmoy Das
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Pseudo-value regression trees Lifetime Data Anal. (IF 1.3) Pub Date : 2024-02-25 Alina Schenk, Moritz Berger, Matthias Schmid
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The built-in selection bias of hazard ratios formalized using structural causal models Lifetime Data Anal. (IF 1.3) Pub Date : 2024-02-15 Richard A. J. Post, Edwin R. van den Heuvel, Hein Putter
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Quantile difference estimation with censoring indicators missing at random Lifetime Data Anal. (IF 1.3) Pub Date : 2024-01-18 Cui-Juan Kong, Han-Ying Liang
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A Bayesian proportional hazards mixture cure model for interval-censored data Lifetime Data Anal. (IF 1.3) Pub Date : 2023-11-28 Chun Pan, Bo Cai, Xuemei Sui
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Efficiency of the Breslow estimator in semiparametric transformation models Lifetime Data Anal. (IF 1.3) Pub Date : 2023-11-26 Theresa P. Devasia, Alexander Tsodikov
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Assessing model prediction performance for the expected cumulative number of recurrent events Lifetime Data Anal. (IF 1.3) Pub Date : 2023-11-17 Olivier Bouaziz
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Bias reduction for semi-competing risks frailty model with rare events: application to a chronic kidney disease cohort study in South Korea Lifetime Data Anal. (IF 1.3) Pub Date : 2023-11-13 Jayoun Kim, Boram Jeong, Il Do Ha, Kook-Hwan Oh, Ji Yong Jung, Jong Cheol Jeong, Donghwan Lee
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Cox (1972): recollections and reflections Lifetime Data Anal. (IF 1.3) Pub Date : 2023-09-15 David Oakes
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Dynamic Treatment Regimes Using Bayesian Additive Regression Trees for Censored Outcomes Lifetime Data Anal. (IF 1.3) Pub Date : 2023-09-02 Xiao Li, Brent R. Logan, S. M. Ferdous Hossain, Erica E. M. Moodie
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Causal survival analysis under competing risks using longitudinal modified treatment policies Lifetime Data Anal. (IF 1.3) Pub Date : 2023-08-24 Iván Díaz, Katherine L. Hoffman, Nima S. Hejazi
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Bayesian semiparametric joint model of multivariate longitudinal and survival data with dependent censoring Lifetime Data Anal. (IF 1.3) Pub Date : 2023-08-15 An-Min Tang, Nian-Sheng Tang, Dalei Yu
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Sensitivity Analysis for Observational Studies with Recurrent Events Lifetime Data Anal. (IF 1.3) Pub Date : 2023-08-12 Jeffrey Zhang, Dylan S. Small
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Regression analysis of general mixed recurrent event data Lifetime Data Anal. (IF 1.3) Pub Date : 2023-07-12 Ryan Sun, Dayu Sun, Liang Zhu, Jianguo Sun
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Quantile forward regression for high-dimensional survival data Lifetime Data Anal. (IF 1.3) Pub Date : 2023-07-02 Eun Ryung Lee, Seyoung Park, Sang Kyu Lee, Hyokyoung G. Hong
Despite the urgent need for an effective prediction model tailored to individual interests, existing models have mainly been developed for the mean outcome, targeting average people. Additionally, the direction and magnitude of covariates’ effects on the mean outcome may not hold across different quantiles of the outcome distribution. To accommodate the heterogeneous characteristics of covariates and
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Estimation of separable direct and indirect effects in a continuous-time illness-death model Lifetime Data Anal. (IF 1.3) Pub Date : 2023-06-04 Marie Skov Breum, Anders Munch, Thomas A. Gerds, Torben Martinussen
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Evaluation of the natural history of disease by combining incident and prevalent cohorts: application to the Nun Study Lifetime Data Anal. (IF 1.3) Pub Date : 2023-05-20 Daewoo Pak, Jing Ning, Richard J. Kryscio, Yu Shen
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Causal inference with recurrent and competing events Lifetime Data Anal. (IF 1.3) Pub Date : 2023-05-12 Matias Janvin, Jessica G. Young, Pål C. Ryalen, Mats J. Stensrud
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Volume under the ROC surface for high-dimensional independent screening with ordinal competing risk outcomes Lifetime Data Anal. (IF 1.3) Pub Date : 2023-05-09 Yang Qu, Yu Cheng
We propose a screening method for high-dimensional data with ordinal competing risk outcomes, which is time-dependent and model-free. Existing methods are designed for cause-specific variable screening and fail to evaluate how a biomarker is associated with multiple competing events simultaneously. The proposed method utilizes the Volume under the ROC surface (VUS), which measures the concordance between
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Regression models for censored time-to-event data using infinitesimal jack-knife pseudo-observations, with applications to left-truncation Lifetime Data Anal. (IF 1.3) Pub Date : 2023-05-08 Erik T. Parner, Per K. Andersen, Morten Overgaard
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A nonparametric instrumental approach to confounding in competing risks models Lifetime Data Anal. (IF 1.3) Pub Date : 2023-05-09 Jad Beyhum, Jean-Pierre Florens, Ingrid Van Keilegom
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Improving marginal hazard ratio estimation using quadratic inference functions Lifetime Data Anal. (IF 1.3) Pub Date : 2023-05-07 Hongkai Liang, Xiaoguang Wang, Yingwei Peng, Yi Niu
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Combined estimating equation approaches for the additive hazards model with left-truncated and interval-censored data Lifetime Data Anal. (IF 1.3) Pub Date : 2023-03-23 Tianyi Lu, Shuwei Li, Liuquan Sun
Interval-censored failure time data arise commonly in various scientific studies where the failure time of interest is only known to lie in a certain time interval rather than observed exactly. In addition, left truncation on the failure event may occur and can greatly complicate the statistical analysis. In this paper, we investigate regression analysis of left-truncated and interval-censored data
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Model-based hypothesis tests for the causal mediation of semi-competing risks Lifetime Data Anal. (IF 1.3) Pub Date : 2023-03-22 Yun-Lin Ho, Ju-Sheng Hong, Yen-Tsung Huang
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Latency function estimation under the mixture cure model when the cure status is available Lifetime Data Anal. (IF 1.3) Pub Date : 2023-03-08 Wende Clarence Safari, Ignacio López-de-Ullibarri, María Amalia Jácome
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A semi-parametric weighted likelihood approach for regression analysis of bivariate interval-censored outcomes from case-cohort studies Lifetime Data Anal. (IF 1.3) Pub Date : 2023-03-02 Yichen Lou, Peijie Wang, Jianguo Sun
The case-cohort design was developed to reduce costs when disease incidence is low and covariates are difficult to obtain. However, most of the existing methods are for right-censored data and there exists only limited research on interval-censored data, especially on regression analysis of bivariate interval-censored data. Interval-censored failure time data frequently occur in many areas and a large
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RKHS-based covariate balancing for survival causal effect estimation Lifetime Data Anal. (IF 1.3) Pub Date : 2023-02-23 Wu Xue, Xiaoke Zhang, Kwun Chuen Gary Chan, Raymond K. W. Wong
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Special issue dedicated to Ørnulf Borgan. Lifetime Data Anal. (IF 1.3) Pub Date : 2023-02-18 S O Samuelsen,O O Aalen
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Estimating distribution of length of stay in a multi-state model conditional on the pathway, with an application to patients hospitalised with Covid-19 Lifetime Data Anal. (IF 1.3) Pub Date : 2023-02-08 Ruth H. Keogh, Karla Diaz-Ordaz, Nicholas P. Jewell, Malcolm G. Semple, Liesbeth C. de Wreede, Hein Putter
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Investigating non-inferiority or equivalence in time-to-event data under non-proportional hazards Lifetime Data Anal. (IF 1.3) Pub Date : 2023-01-28 Kathrin Möllenhoff, Achim Tresch
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Estimation and testing for clustered interval-censored bivariate survival data with application using the semi-parametric version of the Clayton–Oakes model Lifetime Data Anal. (IF 1.3) Pub Date : 2023-01-20 Bernard Rosner, Camden Bay, Robert J. Glynn, Gui-shuang Ying, Maureen G. Maguire, Mei-Ling Ting Lee
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Incorporating delayed entry into the joint frailty model for recurrent events and a terminal event Lifetime Data Anal. (IF 1.3) Pub Date : 2023-01-18 Marie Böhnstedt, Jutta Gampe, Monique A. A. Caljouw, Hein Putter
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Semiparametric predictive inference for failure data using first-hitting-time threshold regression Lifetime Data Anal. (IF 1.3) Pub Date : 2023-01-10 Mei-Ling Ting Lee, G. A. Whitmore
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On a simple estimation of the proportional odds model under right truncation Lifetime Data Anal. (IF 1.3) Pub Date : 2023-01-05 Peng Liu, Kwun Chuen Gary Chan, Ying Qing Chen
Retrospective sampling can be useful in epidemiological research for its convenience to explore an etiological association. One particular retrospective sampling is that disease outcomes of the time-to-event type are collected subject to right truncation, along with other covariates of interest. For regression analysis of the right-truncated time-to-event data, the so-called proportional reverse-time
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A series of two-sample non-parametric tests for quantile residual life time Lifetime Data Anal. (IF 1.3) Pub Date : 2023-01-02 Yimeng Liu, Liwen Wu, Gong Tang, Abdus S. Wahed
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Consistent and robust inference in hazard probability and odds models with discrete-time survival data Lifetime Data Anal. (IF 1.3) Pub Date : 2022-12-23 Zhiqiang Tan
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Analysis and asymptotic theory for nested case–control designs under highly stratified proportional hazards models Lifetime Data Anal. (IF 1.3) Pub Date : 2022-12-06 Larry Goldstein, Bryan Langholz
Nested case–control sampled event time data under a highly stratified proportional hazards model, in which the number of strata increases proportional to sample size, is described and analyzed. The data can be characterized as stratified sampling from the event time risk sets and the analysis approach of Borgan et al. (Ann Stat 23:1749–1778, 1995) is adapted to accommodate both the stratification and
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Bayesian Design of Clinical Trials Using Joint Cure Rate Models for Longitudinal and Time-to-Event Data Lifetime Data Anal. (IF 1.3) Pub Date : 2022-11-10 Jiawei Xu, Matthew A. Psioda, Joseph G. Ibrahim
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Targeted maximum likelihood estimation for causal inference in survival and competing risks analysis Lifetime Data Anal. (IF 1.3) Pub Date : 2022-11-07 Helene C. W. Rytgaard, Mark J. van der Laan
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Cox regression can be collapsible and Aalen regression can be non-collapsible Lifetime Data Anal. (IF 1.3) Pub Date : 2022-10-21 Sven Ove Samuelsen
It is well-known that the additive hazards model is collapsible, in the sense that when omitting one covariate from a model with two independent covariates, the marginal model is still an additive hazards model with the same regression coefficient or function for the remaining covariate. In contrast, for the proportional hazards model under the same covariate assumption, the marginal model is no longer
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A flexible parametric approach for analyzing arbitrarily censored data that are potentially subject to left truncation under the proportional hazards model Lifetime Data Anal. (IF 1.3) Pub Date : 2022-10-08 Prabhashi W. Withana Gamage, Christopher S. McMahan, Lianming Wang
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A uniformisation-driven algorithm for inference-related estimation of a phase-type ageing model Lifetime Data Anal. (IF 1.3) Pub Date : 2022-10-02 Boquan Cheng, Rogemar Mamon
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Flexible two-piece distributions for right censored survival data Lifetime Data Anal. (IF 1.3) Pub Date : 2022-09-20 Worku B. Ewnetu, Irène Gijbels, Anneleen Verhasselt
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A general class of promotion time cure rate models with a new biological interpretation Lifetime Data Anal. (IF 1.3) Pub Date : 2022-09-16 Yolanda M. Gómez, Diego I. Gallardo, Marcelo Bourguignon, Eduardo Bertolli, Vinicius F. Calsavara
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Joint modeling of generalized scale-change models for recurrent event and failure time data Lifetime Data Anal. (IF 1.3) Pub Date : 2022-09-06 Xiaoyu Wang, Liuquan Sun
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Special issue dedicated to David Oakes. Lifetime Data Anal. (IF 1.3) Pub Date : 2022-09-06 Jong H Jeong,Amita K Manatunga
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Choice of time scale for analysis of recurrent events data Lifetime Data Anal. (IF 1.3) Pub Date : 2022-08-15 Philip Hougaard
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Assessing dynamic covariate effects with survival data Lifetime Data Anal. (IF 1.3) Pub Date : 2022-08-13 Ying Cui, Limin Peng
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Semiparametric single-index models for optimal treatment regimens with censored outcomes Lifetime Data Anal. (IF 1.3) Pub Date : 2022-08-08 Jin Wang, Donglin Zeng, D. Y. Lin
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Median regression models for clustered, interval-censored survival data - An application to prostate surgery study Lifetime Data Anal. (IF 1.3) Pub Date : 2022-08-07 Debajyoti Sinha, Piyali Basak, Stuart R. Lipsitz
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Double bias correction for high-dimensional sparse additive hazards regression with covariate measurement errors Lifetime Data Anal. (IF 1.3) Pub Date : 2022-07-22 Xiaobo Wang, Jiayu Huang, Guosheng Yin, Jian Huang, Yuanshan Wu
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Semiparametric regression analysis of doubly-censored data with applications to incubation period estimation Lifetime Data Anal. (IF 1.3) Pub Date : 2022-07-13 Kin Yau Wong, Qingning Zhou, Tao Hu
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On logistic regression with right censored data, with or without competing risks, and its use for estimating treatment effects Lifetime Data Anal. (IF 1.3) Pub Date : 2022-07-07 Paul Frédéric Blanche, Anders Holt, Thomas Scheike