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 2021-06-01 to 2025-06-01.)
ArticleCitations
Median regression models for clustered, interval-censored survival data - An application to prostate surgery study58
On variable selection in a semiparametric AFT mixture cure model32
Quantile forward regression for high-dimensional survival data12
Phase-type models for competing risks, with emphasis on identifiability issues11
A flexible parametric approach for analyzing arbitrarily censored data that are potentially subject to left truncation under the proportional hazards model9
The built-in selection bias of hazard ratios formalized using structural causal models8
Evaluation of the natural history of disease by combining incident and prevalent cohorts: application to the Nun Study8
Conditional modeling of recurrent event data with terminal event7
Semi-supervised approach to event time annotation using longitudinal electronic health records6
Estimation of separable direct and indirect effects in a continuous-time illness-death model6
Incorporating delayed entry into the joint frailty model for recurrent events and a terminal event6
Privacy-preserving estimation of an optimal individualized treatment rule: a case study in maximizing time to severe depression-related outcomes6
Right-censored models by the expectile method6
Longitudinal mediation analysis of time-to-event endpoints in the presence of competing risks6
Prognostic accuracy for predicting ordinal competing risk outcomes using ROC surfaces5
Estimation and testing for clustered interval-censored bivariate survival data with application using the semi-parametric version of the Clayton–Oakes model5
Call for papers for a special issue on survival analysis in artificial intelligence5
Weighted Lindley frailty model: estimation and application to lung cancer data5
Sample size calculation for clustered survival data under subunit randomization4
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
Bias reduction for semi-competing risks frailty model with rare events: application to a chronic kidney disease cohort study in South Korea4
A boosting first-hitting-time model for survival analysis in high-dimensional settings4
Copula-based analysis of dependent current status data with semiparametric linear transformation model4
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
Cox model inference for relative hazard and pure risk from stratified weight-calibrated case-cohort data3
Bias of the additive hazard model in the presence of causal effect heterogeneity3
Bayesian semiparametric joint model of multivariate longitudinal and survival data with dependent censoring3
A general class of promotion time cure rate models with a new biological interpretation3
Sensitivity Analysis for Observational Studies with Recurrent Events3
Semiparametric predictive inference for failure data using first-hitting-time threshold regression3
Model averaging for right censored data with measurement error2
Optimal survival analyses with prevalent and incident patients2
Factor copula models for right-censored clustered survival data2
Screening for chronic diseases: optimizing lead time through balancing prescribed frequency and individual adherence2
Analysis and asymptotic theory for nested case–control designs under highly stratified proportional hazards models2
Instrumental variable estimation of early treatment effect in randomized screening trials2
Choice of time scale for analysis of recurrent events data2
Pseudo-value regression trees2
A new approach to estimation of the proportional hazards model based on interval-censored data with missing covariates2
Continuous and discrete-time survival prediction with neural networks2
A nonparametric instrumental approach to confounding in competing risks models2
Two-stage pseudo maximum likelihood estimation of semiparametric copula-based regression models for semi-competing risks data2
Estimation and inference of predictive discrimination for survival outcome risk prediction models2
Causal survival analysis under competing risks using longitudinal modified treatment policies1
Assessing dynamic covariate effects with survival data1
On the targets of inference with multivariate failure time data1
Regression analysis of doubly censored failure time data with ancillary information1
A flexible Bayesian g-formula for causal survival analyses with time-dependent confounding1
Evaluating time-to-event surrogates for time-to-event true endpoints: an information-theoretic approach based on causal inference1
Risk projection for time-to-event outcome from population-based case–control studies leveraging summary statistics from the target population1
A class of semiparametric models for bivariate survival data1
Quantile regression under dependent censoring with unknown association1
Special issue dedicated to Ørnulf Borgan1
Preface1
Improving marginal hazard ratio estimation using quadratic inference functions1
Special issue dedicated to David Oakes1
The MLE of the uniform distribution with right-censored data1
Bayesian nonparametric dynamic hazard rates in evolutionary life tables1
Conditional screening for ultrahigh-dimensional survival data in case-cohort studies1
Unifying mortality forecasting model: an investigation of the COM–Poisson distribution in the GAS model for improved projections1
Targeted maximum likelihood estimation for causal inference in survival and competing risks analysis1
Bias correction via outcome reassignment for cross-sectional data with binary disease outcome1
Cox regression can be collapsible and Aalen regression can be non-collapsible1
Semiparametric regression analysis of doubly-censored data with applications to incubation period estimation1
Causal inference with recurrent and competing events1
Semiparametric analysis of multivariate panel count data with nonlinear interactions1
Cox (1972): recollections and reflections1
Double bias correction for high-dimensional sparse additive hazards regression with covariate measurement errors1
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