Frailty Models in Survival Analysis

This book PDF is perfect for those who love Mathematics genre, written by Andreas Wienke and published by CRC Press which was released on 26 July 2010 with total hardcover pages 324. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Frailty Models in Survival Analysis books below.

Frailty Models in Survival Analysis
Author : Andreas Wienke
File Size : 40,9 Mb
Publisher : CRC Press
Language : English
Release Date : 26 July 2010
ISBN : 1420073915
Pages : 324 pages
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Frailty Models in Survival Analysis by Andreas Wienke Book PDF Summary

The concept of frailty offers a convenient way to introduce unobserved heterogeneity and associations into models for survival data. In its simplest form, frailty is an unobserved random proportionality factor that modifies the hazard function of an individual or a group of related individuals. Frailty Models in Survival Analysis presents a comprehensive overview of the fundamental approaches in the area of frailty models. The book extensively explores how univariate frailty models can represent unobserved heterogeneity. It also emphasizes correlated frailty models as extensions of univariate and shared frailty models. The author analyzes similarities and differences between frailty and copula models; discusses problems related to frailty models, such as tests for homogeneity; and describes parametric and semiparametric models using both frequentist and Bayesian approaches. He also shows how to apply the models to real data using the statistical packages of R, SAS, and Stata. The appendix provides the technical mathematical results used throughout. Written in nontechnical terms accessible to nonspecialists, this book explains the basic ideas in frailty modeling and statistical techniques, with a focus on real-world data application and interpretation of the results. By applying several models to the same data, it allows for the comparison of their advantages and limitations under varying model assumptions. The book also employs simulations to analyze the finite sample size performance of the models.

Frailty Models in Survival Analysis

The concept of frailty offers a convenient way to introduce unobserved heterogeneity and associations into models for survival data. In its simplest form, frailty is an unobserved random proportionality factor that modifies the hazard function of an individual or a group of related individuals. Frailty Models in Survival Analysis presents

Get Book
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