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Linear and Generalized Linear Mixed Models and Their Applications

This book covers two major classes of mixed effects models, linear mixed models and generalized linear mixed models. It presents an up-to;

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Linear and Generalized Linear Mixed Models and Their Applications

This book covers two major classes of mixed effects models, linear mixed models and generalized linear mixed models. It presents an up-to;

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Generalized Linear Mixed Models

Generalized Linear Mixed Models: Modern Concepts, Methods and Applications presents an introduction to linear modeling using the;

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Multilevel and Longitudinal Modeling Using Stata, Volumes I and II, Third Edition

This book examines Stata's treatment of generalized linear mixed models, also known as multilevel or hierarchical models. These models are;

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Generalized, Linear, and Mixed Models

An accessible and self-contained introduction to statistical models-now in a modernized new edition Generalized, Linear, and Mixed Models;

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Asymptotic Analysis of Mixed Effects Models

Large sample techniques are fundamental to all fields of statistics. Mixed effects models, including linear mixed models, generalized;

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Asymptotic Analysis of Mixed Effects Models

Large sample techniques are fundamental to all fields of statistics. Mixed effects models, including linear mixed models, generalized;

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Multivariate Generalized Linear Mixed Models Using R

Multivariate Generalized Linear Mixed Models Using R presents robust and methodologically sound models for analyzing large and complex data;

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Pharmacokinetic-Pharmacodynamic Modeling and Simulation

developing the field by starting from linear models and then moving up to generalized linear and non-linear mixed effects models. Since the first;

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Foundations of Linear and Generalized Linear Models

of linear mixed models and generalized linear mixed models with random effects for clustered correlated data, Bayesian modeling, and extensions to;

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Repeated Measures Design with Generalized Linear Mixed Models for Randomized Controlled Trials

Repeated Measures Design with Generalized Linear Mixed Models for Randomized Controlled Trials is the first book focused on the application;

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Repeated Measures Design with Generalized Linear Mixed Models for Randomized Controlled Trials

Repeated Measures Design with Generalized Linear Mixed Models for Randomized Controlled Trials is the first book focused on the application;

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Multilevel and Longitudinal Modeling Using Stata, Volume I

continuous outcomes, make it straightforward to transition to generalized linear mixed models for noncontinuous outcomes described in volume II.;

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Generalized Linear and Nonlinear Models for Correlated Data

Edward F. Vonesh's "Generalized Linear and Nonlinear Models for Correlated Data: Theory and Applications Using SAS" is devoted to the;

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An Introduction to Generalized Additive Models with R

splines, and builds a well-grounded foundation through motivating chapters on linear and generalized linear models. While firmly focused on the;

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A First Course in Linear Model Theory

. Revised or expanded topics include linear fixed, random and mixed effects models, generalized linear models, Bayesian and hierarchical linear;

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Extending The Linear Model With R

expanded both in popularity and in the number of packages available. Extending the Linear Model with R: Generalized Linear, Mixed Effects and;

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Linear Model Theory

This book contains 296 exercises and solutions covering a wide variety of topics in linear model theory, including generalized inverses;

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Linear Model Theory

This book contains 296 exercises and solutions covering a wide variety of topics in linear model theory, including generalized inverses;

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SAS for Mixed Models, Second Edition

generalized linear mixed models nonlinear mixed models Professionals and students with a background in two-way ANOVA and regression and a basic;

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Advanced R Statistical Programming and Data Models

linear models, generalized additive models, mixed effects models, machine learning, and parallel processing Carry out regression modeling using R;

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Mixed Effects Models for Complex Data

, the book introduces linear mixed effects (LME) models, generalized linear mixed models (GLMMs), nonlinear mixed effects (NLME) models, and;

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Mixed Effects Models for Complex Data

, the book introduces linear mixed effects (LME) models, generalized linear mixed models (GLMMs), nonlinear mixed effects (NLME) models, and;

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Introduction to General and Generalized Linear Models

Bridging the gap between theory and practice for modern statistical model building, Introduction to General and Generalized Linear Models;

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Generalized Additive Models

the necessary background in linear models, linear mixed models, and generalized linear models (GLMs), before presenting a balanced treatment;

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Linear Models in Statistics

linear mixed models, generalized linear models, and the Bayesian linear model are also addressed. Linear Models in Statistics, Second Edition;

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Generalized Linear and Nonlinear Models for Correlated Data

Edward F. Vonesh's Generalized Linear and Nonlinear Models for Correlated Data: Theory and Applications Using SAS is devoted to the;

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