Current status data arise when the exact timing of an event is unobserved, and it is only
known at a given point in time whether or not the event has occurred. Recently Lin et …

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 …

Current status data arise when each study subject is observed only once and the survival
time of interest is known only to be either less or greater than the observation time. Such …

Current status data arise in studies where the target measurement is the time of occurrence
of some event, but observations are limited to indicators of whether or not the event has …

We propose a semiparametric additive rate model for modelling recurrent events in the
presence of a terminal event. The dependence between recurrent events and terminal event …

Attributable fractions are commonly used to measure the impact of risk factors on disease
incidence in the population. These static measures can be extended to functions of time …

This paper discusses regression analysis of current status failure time data arising from the
additive hazards model in the presence of informative censoring. Many methods have been …

The additive hazards model specifies that the hazard function conditional on a set of
covariates is the sum of an arbitrary baseline hazard function and a regression function of …

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 …

In this paper, we specify andestimate a semiparametric proportional hazards (duration)
model. The model specification is semiparametric in the sense that the baseline hazard is …