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 2020-03-01 to 2024-03-01.)
ArticleCitations
Subtleties in the interpretation of hazard contrasts53
Continuous and discrete-time survival prediction with neural networks32
A generalized theory of separable effects in competing event settings19
Joint modeling of longitudinal continuous, longitudinal ordinal, and time-to-event outcomes8
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 model5
An additive hazards cure model with informative interval censoring4
Semi-parametric survival analysis via Dirichlet process mixtures of the First Hitting Time model4
Generalized mean residual life models for case-cohort and nested case-control studies4
A boosting first-hitting-time model for survival analysis in high-dimensional settings4
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
Left-censored dementia incidences in estimating cohort effects4
The MLE of the uniform distribution with right-censored data4
The ROC of Cox proportional hazards cure models with application in cancer studies4
On logistic regression with right censored data, with or without competing risks, and its use for estimating treatment effects4
Firth adjusted score function for monotone likelihood in the mixture cure fraction model3
Augmented likelihood for incorporating auxiliary information into left-truncated data3
A new approach to estimation of the proportional hazards model based on interval-censored data with missing covariates3
Statistical analysis of clustered mixed recurrent-event data with application to a cancer survivor study3
Accelerated failure time model for data from outcome-dependent sampling3
Semi-supervised approach to event time annotation using longitudinal electronic health records3
The added value of new covariates to the brier score in cox survival models3
Phase-type models for competing risks, with emphasis on identifiability issues3
Scalable proximal methods for cause-specific hazard modeling with time-varying coefficients3
Information measures and design issues in the study of mortality deceleration: findings for the gamma-Gompertz model3
Causal survival analysis under competing risks using longitudinal modified treatment policies3
Optimal designs for discrete-time survival models with random effects3
Nonparametric and semiparametric estimators of restricted mean survival time under length-biased sampling2
Extensions of the absolute standardized hazard ratio and connections with measures of explained variation and variable importance2
Testing equivalence of survival before but not after end of follow-up2
A uniformisation-driven algorithm for inference-related estimation of a phase-type ageing model2
Estimation of treatment effects and model diagnostics with two-way time-varying treatment switching: an application to a head and neck study2
Causal inference with recurrent and competing events2
Privacy-preserving estimation of an optimal individualized treatment rule: a case study in maximizing time to severe depression-related outcomes2
Accounting for delayed entry into observational studies and clinical trials: length-biased sampling and restricted mean survival time2
Combined estimating equation approaches for the additive hazards model with left-truncated and interval-censored data2
Bivariate pseudo-observations for recurrent event analysis with terminal events2
Marker-dependent observation and carry-forward of internal covariates in Cox regression2
Regression analysis of current status data with latent variables2
Optimum test planning for heterogeneous inverse Gaussian processes2
Bayesian analysis under accelerated failure time models with error-prone time-to-event outcomes2
Semiparametric efficient estimation for additive hazards regression with case II interval-censored survival data2
A nonparametric instrumental approach to confounding in competing risks models1
Weighted Lindley frailty model: estimation and application to lung cancer data1
Latency function estimation under the mixture cure model when the cure status is available1
An efficient Gehan-type estimation for the accelerated failure time model with clustered and censored data1
Cox regression can be collapsible and Aalen regression can be non-collapsible1
A general class of promotion time cure rate models with a new biological interpretation1
Semiparametric analysis of multivariate panel count data with nonlinear interactions1
Prognostic accuracy for predicting ordinal competing risk outcomes using ROC surfaces1
Bayesian nonparametric dynamic hazard rates in evolutionary life tables1
OptBand: optimization-based confidence bands for functions to characterize time-to-event distributions1
Inference for transition probabilities in non-Markov multi-state models1
Flexible two-piece distributions for right censored survival data1
Competing risks regression models with covariates-adjusted censoring weight under the generalized case-cohort design1
Semiparametric single-index models for optimal treatment regimens with censored outcomes1
Semiparametric regression analysis of doubly-censored data with applications to incubation period estimation1
Estimating distribution of length of stay in a multi-state model conditional on the pathway, with an application to patients hospitalised with Covid-191
Instrumental variable estimation of early treatment effect in randomized screening trials1
A dependent Dirichlet process model for survival data with competing risks1
Regression analysis of additive hazards model with sparse longitudinal covariates1
Targeted maximum likelihood estimation for causal inference in survival and competing risks analysis1
Evaluation of the natural history of disease by combining incident and prevalent cohorts: application to the Nun Study1
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
Mixture survival trees for cancer risk classification1
Factor copula models for right-censored clustered survival data1
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