Score Tests for Testing Homogeneity of Recurrent Event Times Using Frailty Models

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Creator: 

Alkhathami, Alia Ali

Date: 

2015

Abstract: 

This thesis presents an overview of frailty models in survival analysis for modelling unobserved heterogeneity in survival times. The frailty model is a generalization of Cox's proportional hazard model, where a shared unobserved quantity called frailty describes a positive correlation among the survival times. The frailty term describes the common risks, acting as a factor on the hazard function.

In this thesis, we investigate a score test based on the mixture of chi-square distributions for testing homogeneity of individuals in recurrent event data using a shared frailty model, which is equivalent to testing whether the variance component in a frailty model is zero.

Simulation studies are conducted to assess the empirical level and power of the score test under correctly specified and misspecified random effects, and to study the finite-sample properties in terms of biases and mean squared errors of the estimators

Subject: 

Biostatistics

Language: 

English

Publisher: 

Carleton University

Thesis Degree Name: 

Master of Science: 
M.Sc.

Thesis Degree Level: 

Master's

Thesis Degree Discipline: 

Probability and Statistics

Parent Collection: 

Theses and Dissertations

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