The Frailty Model

This book PDF is perfect for those who love Mathematics genre, written by Luc Duchateau and published by Springer Science & Business Media which was released on 23 October 2007 with total hardcover pages 316. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related The Frailty Model books below.

The Frailty Model

Author	: Luc Duchateau
File Size	: 42,5 Mb
Publisher	: Springer Science & Business Media
Language	: English
Release Date	: 23 October 2007
ISBN	: 9780387728353
Pages	: 316 pages

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The Frailty Model by Luc Duchateau Book PDF Summary

Readers will find in the pages of this book a treatment of the statistical analysis of clustered survival data. Such data are encountered in many scientific disciplines including human and veterinary medicine, biology, epidemiology, public health and demography. A typical example is the time to death in cancer patients, with patients clustered in hospitals. Frailty models provide a powerful tool to analyze clustered survival data. In this book different methods based on the frailty model are described and it is demonstrated how they can be used to analyze clustered survival data. All programs used for these examples are available on the Springer website.

The Frailty Model by Luc Duchateau,Paul Janssen

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Frailty Models in Survival Analysis by Andreas Wienke

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

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Modeling Survival Data Using Frailty Models by David D. Hanagal

This book presents the basic concepts of survival analysis and frailty models, covering both fundamental and advanced topics. It focuses on applications of statistical tools in biology and medicine, highlighting the latest frailty-model methodologies and applications in these areas. After explaining the basic concepts of survival analysis, the book goes

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Analysis of Multivariate Survival Data by Philip Hougaard

Survival data or more general time-to-event data occur in many areas, including medicine, biology, engineering, economics, and demography, but previously standard methods have requested that all time variables are univariate and independent. This book extends the field by allowing for multivariate times. As the field is rather new, the concepts

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Survival Analysis State of the Art by John P. Klein,P.K. Goel

Survival analysis is a highly active area of research with applications spanning the physical, engineering, biological, and social sciences. In addition to statisticians and biostatisticians, researchers in this area include epidemiologists, reliability engineers, demographers and economists. The economists survival analysis by the name of duration analysis and the analysis of

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Survival Analysis with Correlated Endpoints by Takeshi Emura,Shigeyuki Matsui,Virginie Rondeau

This book introduces readers to advanced statistical methods for analyzing survival data involving correlated endpoints. In particular, it describes statistical methods for applying Cox regression to two correlated endpoints by accounting for dependence between the endpoints with the aid of copulas. The practical advantages of employing copula-based models in medical

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Advanced Survival Models by Catherine Legrand

Survival data analysis is a very broad field of statistics, encompassing a large variety of methods used in a wide range of applications, and in particular in medical research. During the last twenty years, several extensions of "classical" survival models have been developed to address particular situations often encountered in

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Handbook of Regression Modeling in People Analytics by Keith McNulty

Despite the recent rapid growth in machine learning and predictive analytics, many of the statistical questions that are faced by researchers and practitioners still involve explaining why something is happening. Regression analysis is the best ‘swiss army knife’ we have for answering these kinds of questions. This book is a

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