Mixed Models

Theory and Applications

Eugene Demidenko

705 pages, parution le 22/09/2004

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Résumé

This timely and state-of-the-art topic is covered comprehensively in this book. Providing a complete and in-depth mathematical coverage of the topic - linear, generalized linear, and nonlinear mixed models, along with diagnostics - the book has dual appeal as both a graduate-level text and a reference. Special attention is given to algorithms and their implementations and several appendices make the text self-contained.

L'auteur - Eugene Demidenko

Eugene Demidenko, PhD, is presently Associate Professor of Biostatistics and Epidemiology at the Dartmouth (NH) Medical School. He received his PhD in Mathematics and Statistics from the Central Institute of Economics and Mathematics of the Academy of Sciences of the USSR. His research interests cover a broad range of theoretical and computational statistics as applicable to bioengineering and cancer-related areas. He has served as an invited lecturer to several institutes/academies around the world.

Sommaire

Introduction: Why Mixed Models?
MLE for LME Model
Statistical Properties of the LME Model
Growth Curve Model and Generalizations
Meta-analysis Model
Nonlinear Marginal Model
Generalized Linear Mixed Models
Nonlinear Mixed Effects Model
Diagnostics and Influence Analysis
Tumor Regrowth Curves
Statistical Analysis of Shape
Statistical Image Analysis
Appendix: Useful Facts and Formulas

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Wiley
Auteur(s)	Eugene Demidenko
Parution	22/09/2004
Nb. de pages	705
Format	16 x 24
Couverture	Relié
Poids	1130g
Intérieur	Noir et Blanc
EAN13	9780471601616
ISBN13	978-0-471-60161-6