Mixed effects models for the population approach : models, tasks, methods and tools / Marc Lavielle ; with contributions by Kevin Bleakley
- 作者： Lavielle, Marc author
- 出版： Boca Raton : Taylor & Francis 2014
- 叢書名： Chapman & Hall/CRC biostatistics series
- 主題： Multilevel models (Statistics) , Population biology--Mathematical models. , Models, Statistical. , Biometry--methods , Population Characteristics.
- ISBN： 9781482226508 (hbk.) :: US$91.09 、 1482226502 (hbk.)
- 一般註：Includes bibliographical references and index
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讀者標籤：
- 系統號： 005219092 | 機讀編目格式
館藏資訊
Wide-Ranging Coverage of Parametric Modeling in Linear and Nonlinear Mixed Effects Models Mixed 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 whole population of individuals at the same time. Easy-to-Use Techniques and Tools for Real-World Data Modeling The book first shows how the framework allows model representation for different data types, including continuous, categorical, count, and time-to-event data. This leads to the use of generic methods, such as the stochastic approximation of the EM algorithm (SAEM), for modeling these diverse data types. The book also covers other essential methods, including Markov chain Monte Carlo (MCMC) and importance sampling techniques. The author uses publicly available software tools to illustrate modeling tasks. Methods are implemented in Monolix, and models are visually explored using Mlxplore and simulated using Simulx. Careful Balance of Mathematical Representation and Practical Implementation This book takes readers through the whole modeling process, from defining/creating a parametric model to performing tasks on the model using various mathematical methods. Statisticians and mathematicians will appreciate the rigorous representation of the models and theoretical properties of the methods while modelers will welcome the practical capabilities of the tools. The book is also useful for training and teaching in any field where population modeling occurs.
摘要註
"This book presents wide-ranging coverage of parametric modeling in linear and nonlinear mixed-effects models. Using these models, readers can perform parameter estimation across a whole population of individuals at the same time. The book takes readers through the whole modeling process, from defining/creating a parametric model to performing tasks on the model using various mathematical methods. It also includes numerous case studies and illustrates the use of the MONOLIX software"--Provided by publisher