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 2020-10-01 to 2024-10-01.)
ArticleCitations
Continuous and discrete-time survival prediction with neural networks48
A generalized theory of separable effects in competing event settings24
Joint modeling of longitudinal continuous, longitudinal ordinal, and time-to-event outcomes11
On logistic regression with right censored data, with or without competing risks, and its use for estimating treatment effects8
A hybrid landmark Aalen-Johansen estimator for transition probabilities in partially non-Markov multi-state models6
A flexible parametric approach for analyzing arbitrarily censored data that are potentially subject to left truncation under the proportional hazards model6
Scalable proximal methods for cause-specific hazard modeling with time-varying coefficients5
Latency function estimation under the mixture cure model when the cure status is available5
The added value of new covariates to the brier score in cox survival models5
An additive hazards cure model with informative interval censoring5
Causal survival analysis under competing risks using longitudinal modified treatment policies5
A boosting first-hitting-time model for survival analysis in high-dimensional settings5
The ROC of Cox proportional hazards cure models with application in cancer studies5
Accelerated failure time model for data from outcome-dependent sampling4
EM algorithm for the additive risk mixture cure model with interval-censored data4
Maximum likelihood estimation for length-biased and interval-censored data with a nonsusceptible fraction4
The MLE of the uniform distribution with right-censored data4
Weighted Lindley frailty model: estimation and application to lung cancer data4
A new approach to estimation of the proportional hazards model based on interval-censored data with missing covariates4
A general class of promotion time cure rate models with a new biological interpretation4
Information measures and design issues in the study of mortality deceleration: findings for the gamma-Gompertz model4
Semi-parametric survival analysis via Dirichlet process mixtures of the First Hitting Time model4
Bivariate pseudo-observations for recurrent event analysis with terminal events4
Firth adjusted score function for monotone likelihood in the mixture cure fraction model3
Augmented likelihood for incorporating auxiliary information into left-truncated data3
Optimum test planning for heterogeneous inverse Gaussian processes3
Phase-type models for competing risks, with emphasis on identifiability issues3
Accounting for delayed entry into observational studies and clinical trials: length-biased sampling and restricted mean survival time3
Inference for transition probabilities in non-Markov multi-state models3
Testing equivalence of survival before but not after end of follow-up3
Regression analysis of current status data with latent variables3
Semi-supervised approach to event time annotation using longitudinal electronic health records3
Optimal designs for discrete-time survival models with random effects3
Marker-dependent observation and carry-forward of internal covariates in Cox regression2
Privacy-preserving estimation of an optimal individualized treatment rule: a case study in maximizing time to severe depression-related outcomes2
Assessing dynamic covariate effects with survival data2
Competing risks regression models with covariates-adjusted censoring weight under the generalized case-cohort design2
Causal inference with recurrent and competing events2
Estimating distribution of length of stay in a multi-state model conditional on the pathway, with an application to patients hospitalised with Covid-192
Regression analysis of additive hazards model with sparse longitudinal covariates2
Combined estimating equation approaches for the additive hazards model with left-truncated and interval-censored data2
Evaluation of the natural history of disease by combining incident and prevalent cohorts: application to the Nun Study2
Semiparametric regression analysis of doubly-censored data with applications to incubation period estimation2
Longitudinal mediation analysis of time-to-event endpoints in the presence of competing risks2
Estimation of separable direct and indirect effects in a continuous-time illness-death model2
Bayesian analysis under accelerated failure time models with error-prone time-to-event outcomes2
A uniformisation-driven algorithm for inference-related estimation of a phase-type ageing model2
Nonparametric inference in the accelerated failure time model using restricted means1
Prognostic accuracy for predicting ordinal competing risk outcomes using ROC surfaces1
A dependent Dirichlet process model for survival data with competing risks1
Flexible two-piece distributions for right censored survival data1
Cox regression can be collapsible and Aalen regression can be non-collapsible1
Bias of the additive hazard model in the presence of causal effect heterogeneity1
Semiparametric analysis of multivariate panel count data with nonlinear interactions1
Mixture survival trees for cancer risk classification1
Bayesian nonparametric dynamic hazard rates in evolutionary life tables1
OptBand: optimization-based confidence bands for functions to characterize time-to-event distributions1
An efficient Gehan-type estimation for the accelerated failure time model with clustered and censored data1
The built-in selection bias of hazard ratios formalized using structural causal models1
Estimation and inference of predictive discrimination for survival outcome risk prediction models1
Semiparametric regression based on quadratic inference function for multivariate failure time data with auxiliary information1
Factor copula models for right-censored clustered survival data1
Instrumental variable estimation of early treatment effect in randomized screening trials1
Targeted maximum likelihood estimation for causal inference in survival and competing risks analysis1
Regression analysis of general mixed recurrent event data1
Semiparametric single-index models for optimal treatment regimens with censored outcomes1
Cox model inference for relative hazard and pure risk from stratified weight-calibrated case-cohort data1
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