Mixed Effects Models for the Population Approach: Models, Tasks, Methods and Tools, 1st Edition (e-Book) book cover

Mixed Effects Models for the Population Approach

Models, Tasks, Methods and Tools, 1st Edition

By Marc Lavielle

Chapman and Hall/CRC

383 pages

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Hardback: 9781482226508
pub: 2014-07-14
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pub: 2014-07-14
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Description

Wide-Ranging Coverage of Parametric Modeling in Linear and Nonlinear Mixed Effects ModelsMixed Effects Models for the Population Approach: Models, Tasks, Methods and Tools presents a rigorous framework for describing, implementing, and using mixed effects models. With these models, readers can perform parameter estimation and modeling across a whol

Table of Contents

Introduction and Preliminary Concepts: Overview. Mixed Effects Models vs Hierarchical Models. What Is a Model? A Joint Probability Distribution! Defining Models: Modeling Observations. Modeling the Individual Parameters. Extensions. Using Models: Tasks and Methods. Examples. Algorithms. Appendices: The Individual Approach. Some Useful Results. Introduction to Pharmacokinetics Modeling. Tools. Bibliography. Glossary. Index.

About the Author

Marc Lavielle is a statistician specializing in computational statistics and healthcare applications. He holds a Ph.D. in statistics from University Paris-Sud, Orsay. He was named professor at Paris Descartes University and joined Inria as research director in 2007. Creator of the Monolix software, he led the Monolix software development project at Inria between 2009 and 2011. He created the CNRS Research Group "Statistics and Health" in 2007. Since 2009, Dr. Lavielle has been a member of the French High Council of Biotechnologies, where he promotes the use of sound statistical methods to evaluate health and environmental risks related to genetically modified organisms (GMOs).

Subject Categories

BISAC Subject Codes/Headings:
MAT029000
MATHEMATICS / Probability & Statistics / General
MED071000
MEDICAL / Pharmacology
MED090000
MEDICAL / Biostatistics