Interval-censored failure time data occur in many fields such as demography, economics,
medical research, and reliability and many inference procedures on them have been …

Current status data frequently occur in many fields including demographic studies and
tumorigenicity experiments. In these cases, the censoring or observation time may be …

Regression analysis of failure time data has been discussed by many authors and for this,
one of the commonly used models is the additive hazards model, for which some inference …

The additive hazards model is one of the most commonly used model in regression analysis
of failure time data and many estimation procedures have been developed for its inference …

Interval-censored failure time and panel count data, which frequently arise in medical
studies and social sciences, are two types of important incomplete data. Although methods …

This paper discusses the fitting of the proportional hazards model to interval-censored
failure time data with missing covariates. Many authors have discussed the problem when …

The additive hazards model is one of the most commonly used models for regression
analysis of failure time data and many inference procedures have been developed for it …

Failure time data occur in many areas and in various censoring forms and many models
have been proposed for their regression analysis such as the proportional hazards model …

Regression analysis of interval-censored failure time data has recently attracted a great deal
of attention partly due to their increasing occurrences in many fields. In this paper, we …

Many methods have been developed in the literature for regression analysis of current
status data with noninformative censoring and also some approaches have been proposed …