A Positive Stable Frailty Model for Clustered Failure Time Data with Covariate-Dependent Frailty

A positive stable frailty model for clustered failure time data with covariate-dependent frailty.

Summary In this article, we propose a positive stable shared frailty Cox model for clustered failure time data where the frailty distribution varies with cluster-level covariates. The proposed model accounts for covariate-dependent intracluster correlation and permits both conditional and marginal inferences. We obtain marginal inference directly from a marginal model, then use a stratified Cox...

A Sas Macro for the Positive Stable Frailty Model

Robust Estimation Of Multivariate Failure Data With Time-Modulated Frailty

Regression analysis of doubly censored failure time data with frailty.

In doubly censored failure time data, the survival time of interest is defined as the elapsed time between an initial event and a subsequent event, and the occurrences of both events cannot be observed exactly. Instead, only right- or interval-censored observations on the occurrence times are available. For the analysis of such data, a number of methods have been proposed under the assumption t...

On the Uniform Frailty Model with Penalized Likelihood and Clustered Data

In the field of survival analysis, when heterogeneity is suspected across study subjects, a model that can account for that variability is preferred. Moreover, an important and challenging task in that field is to efficiently select a subset of significant variables upon which the hazard function depends. To this end, frailty models along with the penalized likelihood methodology can be applied...