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 2021-09-01 to 2025-09-01.)
ArticleCitations
Median regression models for clustered, interval-censored survival data - An application to prostate surgery study63
On variable selection in a semiparametric AFT mixture cure model36
Quantile forward regression for high-dimensional survival data13
Phase-type models for competing risks, with emphasis on identifiability issues13
A flexible parametric approach for analyzing arbitrarily censored data that are potentially subject to left truncation under the proportional hazards model12
Evaluation of the natural history of disease by combining incident and prevalent cohorts: application to the Nun Study9
Conditional modeling of recurrent event data with terminal event8
The built-in selection bias of hazard ratios formalized using structural causal models8
Incorporating delayed entry into the joint frailty model for recurrent events and a terminal event8
Estimation of separable direct and indirect effects in a continuous-time illness-death model7
Estimation and variable selection for semiparametric transformation models with length-biased survival data6
Semi-supervised approach to event time annotation using longitudinal electronic health records6
Estimation and testing for clustered interval-censored bivariate survival data with application using the semi-parametric version of the Clayton–Oakes model6
Right-censored models by the expectile method6
Analysis of interval censored survival data in sequential multiple assignment randomized trials6
Call for papers for a special issue on survival analysis in artificial intelligence5
Bias reduction for semi-competing risks frailty model with rare events: application to a chronic kidney disease cohort study in South Korea5
Prognostic accuracy for predicting ordinal competing risk outcomes using ROC surfaces5
Copula-based analysis of dependent current status data with semiparametric linear transformation model5
Privacy-preserving estimation of an optimal individualized treatment rule: a case study in maximizing time to severe depression-related outcomes5
Longitudinal mediation analysis of time-to-event endpoints in the presence of competing risks5
Bias of the additive hazard model in the presence of causal effect heterogeneity4
Lifetime analysis with monotonic degradation: a boosted first hitting time model based on a homogeneous gamma process4
Semiparametric single-index models for optimal treatment regimens with censored outcomes4
A boosting first-hitting-time model for survival analysis in high-dimensional settings4
A general class of promotion time cure rate models with a new biological interpretation4
Sample size calculation for clustered survival data under subunit randomization4
Regression models for censored time-to-event data using infinitesimal jack-knife pseudo-observations, with applications to left-truncation3
Semiparametric predictive inference for failure data using first-hitting-time threshold regression3
Two-stage pseudo maximum likelihood estimation of semiparametric copula-based regression models for semi-competing risks data3
Sensitivity Analysis for Observational Studies with Recurrent Events3
Consistent and robust inference in hazard probability and odds models with discrete-time survival data3
A nonparametric instrumental approach to confounding in competing risks models3
Optimal survival analyses with prevalent and incident patients3
Cox model inference for relative hazard and pure risk from stratified weight-calibrated case-cohort data3
Bayesian semiparametric joint model of multivariate longitudinal and survival data with dependent censoring3
Choice of time scale for analysis of recurrent events data3
Estimation and inference of predictive discrimination for survival outcome risk prediction models2
Screening for chronic diseases: optimizing lead time through balancing prescribed frequency and individual adherence2
Preface2
Cox regression can be collapsible and Aalen regression can be non-collapsible2
Continuous and discrete-time survival prediction with neural networks2
Analysis and asymptotic theory for nested case–control designs under highly stratified proportional hazards models2
A new approach to estimation of the proportional hazards model based on interval-censored data with missing covariates2
Assessing dynamic covariate effects with survival data2
Model averaging for right censored data with measurement error2
Pseudo-value regression trees2
Bayesian joint analysis of longitudinal data and interval-censored failure time data2
Special issue dedicated to Ørnulf Borgan2
Unifying mortality forecasting model: an investigation of the COM–Poisson distribution in the GAS model for improved projections1
Quantile regression under dependent censoring with unknown association1
Bias correction via outcome reassignment for cross-sectional data with binary disease outcome1
Regression analysis of doubly censored failure time data with ancillary information1
Bayesian nonparametric dynamic hazard rates in evolutionary life tables1
A flexible Bayesian g-formula for causal survival analyses with time-dependent confounding1
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
Evaluating time-to-event surrogates for time-to-event true endpoints: an information-theoretic approach based on causal inference1
Robust inverse probability weighted estimators for doubly truncated Cox regression with closed-form standard errors1
Semiparametric analysis of multivariate panel count data with nonlinear interactions1
Causal inference with recurrent and competing events1
Bivariate pseudo-observations for recurrent event analysis with terminal events1
A class of semiparametric models for bivariate survival data1
Improving marginal hazard ratio estimation using quadratic inference functions1
On the targets of inference with multivariate failure time data1
Targeted maximum likelihood estimation for causal inference in survival and competing risks analysis1
Cox (1972): recollections and reflections1
Semiparametric regression analysis of doubly-censored data with applications to incubation period estimation1
Special issue dedicated to David Oakes1
RKHS-based covariate balancing for survival causal effect estimation1
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