LIFETIME DATA ANALYSIS

Modeling marginal features in studies of recurrent events in the presence of a terminal event

Copula-based score test for bivariate time-to-event data, with application to a genetic study of AMD progression

A class of semiparametric cure models with current status data

Dealing with death when studying disease or physiological marker: the stochastic system approach to causality

Reliability analysis of load-sharing systems with memory

Additive hazards model with auxiliary subgroup survival information

Goodness of fit tests for estimating equations based on pseudo-observations

Semiparametric sieve maximum likelihood estimation under cure model with partly interval censored and left truncated data for application to spontaneous abortion

New approaches for censored longitudinal data in joint modelling of longitudinal and survival data, with application to HIV vaccine studies

Assessing the value of a censored surrogate outcome

Landmark estimation of transition probabilities in non-Markov multi-state models with covariates

The effect of omitted covariates in marginal and partially conditional recurrent event analyses

Extending Bayesian back-calculation to estimate age and time specific HIV incidence

The additive hazard estimator is consistent for continuous-time marginal structural models

Group-sequential logrank methods for trial designs using bivariate non-competing event-time outcomes

Model diagnostics for the proportional hazards model with length-biased data

Prognostic score matching methods for estimating the average effect of a non-reversible binary time-dependent treatment on the survival function

A semiparametric additive rates model for the weighted composite endpoint of recurrent and terminal events

Partially hidden multi-state modelling of a prolonged disease state defined by a composite outcome

Penalized full likelihood approach to variable selection for Cox’s regression model under nested case–control sampling

Bayes factors for choosing among six common survival models

Multiple event times in the presence of informative censoring: modeling and analysis by copulas

Multiplicative rates model for recurrent events in case-cohort studies

Correction to: Improved precision in the analysis of randomized trials with survival outcomes, without assuming proportional hazards

Semiparametric regression analysis of doubly censored failure time data from cohort studies

Robust estimation in accelerated failure time models

An extended proportional hazards model for interval-censored data subject to instantaneous failures

The Wally plot approach to assess the calibration of clinical prediction models

Parametric modelling of prevalent cohort data with uncertainty in the measurement of the initial onset date

Semiparametric temporal process regression of survival-out-of-hospital

Semiparametric inference for a two-stage outcome-dependent sampling design with interval-censored failure time data

Prevalent cohort studies and unobserved heterogeneity.

Varying coefficient transformation cure models for failure time data

Tree-based modeling of time-varying coefficients in discrete time-to-event models

Bootstrap and permutation rank tests for proportional hazards under right censoring

A new long-term survival model with dispersion induced by discrete frailty

Mixture regression models for the gap time distributions and illness–death processes

A dual frailty model for lifetime analysis in maritime transportation

A causal proportional hazards estimator under homogeneous or heterogeneous selection in an IV setting

Semiparametric methods for survival data with measurement error under additive hazards cure rate models

Hidden three-state survival model for bivariate longitudinal count data

Weighted estimation for multivariate shared frailty models for complex surveys

Testing for center effects on survival and competing risks outcomes using pseudo-value regression

Proportional cross-ratio model

Parametric estimation of association in bivariate failure-time data subject to competing risks: sensitivity to underlying assumptions

A Bayesian approach for semiparametric regression analysis of panel count data

Group sequential tests for treatment effect on survival and cumulative incidence at a fixed time point