Semiparametric competing risks regression under interval censoring using the R package intccr

SEMIPARAMETRIC ESTIMATORS IN COMPETING RISKS REGRESSION by

Marginal Regression Analysis for Semi-Competing Risks Data Under Dependent Censoring

Multiple events data are commonly seen in medical applications. There are two types of events, namely terminal and non-terminal. Statistical analysis for non-terminal events is complicated due to dependent censoring. Consequently, joint modelling and inference are often needed to avoid the problem of non-identifiability. This article considers regression analysis for multiple events data with m...

Semiparametric analysis of mixture regression models with competing risks data.

In the analysis of competing risks data, cumulative incidence function is a useful summary of the overall crude risk for a failure type of interest. Mixture regression modeling has served as a natural approach to performing covariate analysis based on this quantity. However, existing mixture regression methods with competing risks data either impose parametric assumptions on the conditional ris...

Analysis of Partly Interval-Censored Data under Competing Risks Framework

Cure - rate estimation under Case - 1 interval censoring Running title : Cure - rate under interval censoring

We consider nonparametric estimation of cure-rate based on mixture model under Case-1 interval censoring. We show that the nonparametric maximum-likelihood estimator (NPMLE) of cure-rate is non-unique as well as inconsistent , and propose two estimators based on the NPMLE of the distribution function under this censoring model. We present a cross-validation method for choosing a 'cut-off' point...