The Fine–Gray model under interval censored competing risks data

Analysis of Partly Interval-Censored Data under Competing Risks Framework

INFERENCE ON CENSORED SURVIVAL DATA UNDER COMPETING RISKS by

Exploring the Method for Analyzing Interval Censored Data Using Imputation in Competing Risks Model

We consider the problem of analyzing interval censored data comparing cumulative incidence functions by demographic variables in the presence of competing risks. In this paper, we explore two methods based on imputation, the EM-type method and Multiple Imputation. Basically, we imputed the exact event time for interval censored data and take advantage of standard estimation methods for right ce...

Semiparametric Additive Risks Model for Interval-censored Data

Interval-censored event time data often arise in medical and public health studies. In such a setting, the exact time of the event of interest cannot be observed and is only known to fall between two monitoring times. Our interest focuses on the estimation of the effect of risk factors on interval-censored data under the semiparametric additive hazards model. A nonparametric step-function is us...

Non-Bayesian Estimation and Prediction under Weibull Interval Censored Data

In this paper, a one-sample point predictor of the random variable X is studied. X is the occurrence of an event in any successive visits $L_i$ and $R_i$ :i=1,2…,n (interval censoring). Our proposed method is based on finding the expected value of the conditional distribution of X given $L_i$ and $R_i$ (i=1,2…,n). To make the desired prediction, our approach is on the basis of approximating the...