ABSTRACT

When designing and analyzing a medical study, researchers focusing on survival data must take into account the heterogeneity of the study population: due to uncontrollable variation, some members change states more rapidly than others. Survival data measures the time to a certain event or change of state. For example, the event may be death, occurr

part |2 pages

Part I Basic Concepts in Survival Analysis

chapter 1|16 pages

Introduction to Survival Analysis

chapter 2|24 pages

Some Parametric Methods

chapter 3|26 pages

Chapter 3

Nonparametric and Semiparametric Models

part |2 pages

Part II Univariate and Shared Frailty Models for Survival

chapter 4|10 pages

The Frailty Concept

chapter 5|24 pages

Chapter 5

Various Frailty Models

chapter 6|14 pages

Chapter 6

Estimation Methods for Shared Frailty Models

chapter 7|18 pages

Chapter 7

chapter 8|24 pages

Chapter 8

Tests of Hypotheses in Frailty Models

chapter 9|24 pages

Chapter 9

Shared Frailty in Bivariate Exponential and Weibull Models

chapter 10|18 pages

Chapter 10

Frailty Models Based on Levy Processes

part |2 pages

Part III Bivariate Frailty Models for Survival Data

chapter 11|18 pages

Chapter 11

Bivariate Frailty Models and Estimation Methods

chapter 12|20 pages

Chapter 12

Correlated Frailty Models

chapter 13|30 pages

Chapter 13

Additive Frailty Models

chapter 14|8 pages

Chapter 14

Identiability of Bivariate Frailty Models