Marc Lavielle
Mixed Effects Models for the Population Approach: Models, Tasks, Methods and Tools
Mixed Effects Models for the Population Approach: Models, Tasks, Methods and Tools
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Excellent- More about Mixed Effects Models for the Population Approach: Models, Tasks, Methods and Tools
Mixed Effects Models for the Population Approach provides a comprehensive framework for describing, implementing, and using mixed effects models, allowing for parameter estimation and modeling across a whole population of individuals. It covers a wide range of data types and uses easy-to-use techniques and tools, with a careful balance of mathematical representation and practical implementation. The book is useful for training and teaching in any field where population modeling occurs.
Format: Paperback / softback
Length: 384 pages
Publication date: 21 January 2023
Publisher: Taylor & Francis Ltd
Mixed Effects Models for the Population Approach: Models, Tasks, Methods, and Tools presents a comprehensive framework for describing, implementing, and utilizing mixed effects models. These models enable simultaneous parameter estimation and modeling across an entire population of individuals.
Easy-to-Use Techniques and Tools for Real-World Data Modeling
The book begins by demonstrating how the framework accommodates model representation for various data types, including continuous, categorical, count, and time-to-event data. This leads to the utilization of generic methods, such as the stochastic approximation of the EM algorithm (SAEM), for modeling these diverse data types. Additionally, the book covers other essential methods, such as Markov chain Monte Carlo (MCMC) and importance sampling techniques. The author employs 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 guides readers through the entire 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 valuable for training and teaching in any field where population modeling occurs.
Weight: 710g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032477350
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