Lifetime Data Analysis

Papers
(The median citation count of Lifetime Data Analysis is 1. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-05-01 to 2026-05-01.)
ArticleCitations
On variable selection in a semiparametric AFT mixture cure model23
Median regression models for clustered, interval-censored survival data - An application to prostate surgery study21
Quantile forward regression for high-dimensional survival data15
The built-in selection bias of hazard ratios formalized using structural causal models14
Conditional modeling of recurrent event data with terminal event8
A flexible parametric approach for analyzing arbitrarily censored data that are potentially subject to left truncation under the proportional hazards model8
Semi-supervised approach to event time annotation using longitudinal electronic health records8
Evaluation of the natural history of disease by combining incident and prevalent cohorts: application to the Nun Study8
Incorporating delayed entry into the joint frailty model for recurrent events and a terminal event7
Continuously updated estimation of conditional hazard functions7
Estimation of separable direct and indirect effects in a continuous-time illness-death model7
Right-censored models by the expectile method6
Estimation and testing for clustered interval-censored bivariate survival data with application using the semi-parametric version of the Clayton–Oakes model6
Analysis of interval censored survival data in sequential multiple assignment randomized trials6
Estimation and variable selection for semiparametric transformation models with length-biased survival data6
Longitudinal mediation analysis of time-to-event endpoints in the presence of competing risks5
Call for papers for a special issue on survival analysis in artificial intelligence5
Privacy-preserving estimation of an optimal individualized treatment rule: a case study in maximizing time to severe depression-related outcomes5
Wasserstein GAN-based estimation for conditional distribution function with current status data5
Lifetime analysis with monotonic degradation: a boosted first hitting time model based on a homogeneous gamma process4
Copula-based analysis of dependent current status data with semiparametric linear transformation model4
Bias of the additive hazard model in the presence of causal effect heterogeneity4
Bias reduction for semi-competing risks frailty model with rare events: application to a chronic kidney disease cohort study in South Korea4
Inference for cause-specific cox model absolute risk in cohort subsampling designs4
Beyond Bonferroni: new multiple contrast tests for time-to-event data under non-proportional hazards4
Statistical methods for composite analysis of recurrent and terminal events in clinical trials3
Sensitivity Analysis for Observational Studies with Recurrent Events3
Cox model inference for relative hazard and pure risk from stratified weight-calibrated case-cohort data3
Regression models for censored time-to-event data using infinitesimal jack-knife pseudo-observations, with applications to left-truncation3
Consistent and robust inference in hazard probability and odds models with discrete-time survival data3
A general class of promotion time cure rate models with a new biological interpretation3
Semiparametric single-index models for optimal treatment regimens with censored outcomes3
A comparison of Kaplan–Meier-based inverse probability of censoring weighted regression methods3
Bayesian joint models for longitudinal, recurrent, and terminal event data2
Semiparametric predictive inference for failure data using first-hitting-time threshold regression2
Choice of time scale for analysis of recurrent events data2
Pseudo-value regression trees2
Model averaging for right censored data with measurement error2
Two-stage pseudo maximum likelihood estimation of semiparametric copula-based regression models for semi-competing risks data2
Estimation of the interpretable heterogeneous treatment effect with causal subgroup discovery in survival outcomes2
A nonparametric instrumental approach to confounding in competing risks models2
Estimating treatment effects on duration with disease: a principal stratification framework2
Analysis and asymptotic theory for nested case–control designs under highly stratified proportional hazards models2
Estimating attributable risk functions for censored time-to-event in disease prevention research2
Bayesian semiparametric joint model of multivariate longitudinal and survival data with dependent censoring2
Optimal survival analyses with prevalent and incident patients2
On Multiple Time Scales and Collapsibility2
Screening for chronic diseases: optimizing lead time through balancing prescribed frequency and individual adherence2
Evaluating time-to-event surrogates for time-to-event true endpoints: an information-theoretic approach based on causal inference1
Causal inference with recurrent and competing events1
Model-based hypothesis tests for the causal mediation of semi-competing risks1
Quantile regression under dependent censoring with unknown association1
Special issue dedicated to David Oakes1
Regression analysis of doubly censored failure time data with ancillary information1
A class of semiparametric models for bivariate survival data1
Semiparametric regression analysis of doubly-censored data with applications to incubation period estimation1
Targeted maximum likelihood estimation for causal inference in survival and competing risks analysis1
Partially linear Cox model with neural networks for left-truncated data1
Bias correction via outcome reassignment for cross-sectional data with binary disease outcome1
Bayesian semiparametric partially linear cure models with partly interval-censored data1
Preface1
Unifying mortality forecasting model: an investigation of the COM–Poisson distribution in the GAS model for improved projections1
Robust inverse probability weighted estimators for doubly truncated Cox regression with closed-form standard errors1
Semiparametric regression analysis of interval-censored competing risks data under additive hazards model with missing event types1
Modelling dependent censoring in time-to-event data using boosting copula regression1
Cox (1972): recollections and reflections1
On the targets of inference with multivariate failure time data1
Q-learning via deep learning-based Buckley–James method for non-linear censored data1
Assessing dynamic covariate effects with survival data1
Special issue dedicated to Ørnulf Borgan1
Integrating high-dimensional censored data under privacy constraints via localized computations1
Improving marginal hazard ratio estimation using quadratic inference functions1
Efficiency of the Breslow estimator in semiparametric transformation models1
Deep tobit model: an integrated framework for high-dimensional censored regression with variable selection1
A flexible Bayesian g-formula for causal survival analyses with time-dependent confounding1
Nonparametric estimation of a state entry time distribution conditional on a “past” state occupation in a progressive multistate model with current status data1
Risk projection for time-to-event outcome from population-based case–control studies leveraging summary statistics from the target population1
Double bias correction for high-dimensional sparse additive hazards regression with covariate measurement errors1
Causal survival analysis under competing risks using longitudinal modified treatment policies1
Bayesian joint analysis of longitudinal data and interval-censored failure time data1
Cox regression can be collapsible and Aalen regression can be non-collapsible1
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