Parametric Model Based On Imputations Techniques for Partly Interval Censored Data

Analysis of Partly Interval-Censored Data under Competing Risks Framework

Asymptotic Properties of Nonparametric Estimation Based on Partly Interval-Censored Data

We study asymptotic properties of the nonparametric maximum likelihood estimator (NPMLE) of a distribution function based on partly interval-censored data in which the exact values of some failure times are observed in addition to interval-censored observations. It is shown that the NPMLE converges weakly to a mean zero Gaussian process whose covariance function is determined by a Fredholm inte...

Model based bootstrap methods for interval censored data

We investigate the performance of model based bootstrap methods for constructing point-wise confidence intervals around the survival function with interval censored data. We show that bootstrapping from the nonparametric maximum likelihood estimator of the survival function is inconsistent for both the current status and case 2 interval censoring models. A model based smoothed bootstrap procedu...

Variable selection in a flexible parametric mixture cure model with interval‐censored data

In standard survival analysis, it is generally assumed that every individual will experience someday the event of interest. However, this is not always the case, as some individuals may not be susceptible to this event. Also, in medical studies, it is frequent that patients come to scheduled interviews and that the time to the event is only known to occur between two visits. That is, the data a...

A Bayesian Semiparametri AFT Model for Interval Censored Data