In contrast to the proportional hazards model, the additive risk model specifies that the
hazard function associated with a set of possibly time-varying covariates is the sum of, rather …

A general class of semiparametric hazards regression models for survival data is proposed
and studied. This general class includes some popular classes of models as subclasses …

Current status data arise when the only knowledge about the failure time of interest is
whether the failure occurs before or after a random monitoring time. We propose to analyse …

Standard approaches to semiparametric modelling of two-sample survival data are not
appropriate when the two survival curves cross. We introduce a two-sample model that …

Prediction of survival probabilities for future patients is one of the main goals of fitting
survival data with regression models. In this article we consider a large class of …

Proportional hazards models and their extensions (models with timedependent covariates,
models with time dependent regression coefficients, models with random coefficients and …

An approach to covariate analysis of current status data is described. The method is
applicable when the logit of the conditional probability of survival given the covariates is …

In survival analysis, the relationship between a survival time and a covariate is conveniently
modeled with the proportional hazards regression model. This model usually assumes that …

A common objective in longitudinal studies is to characterise the relationship between a
failure time process and time‐independent and time‐dependent covariates. Time …

Semiparametric regression models play a central role in formulating the effects of covariates
on potentially censored failure times and in the joint modelling of incomplete repeated …