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Applied Mixed Models In Medicine

/phsmixed/. This much-anticipated second edition is ideal for applied statisticians working in medical research and the pharmaceutical;

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Applied Mixed Model Analysis

This practical book is designed for applied researchers who want to use mixed models with their data. It discusses the basic principles;

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Applied Mixed Model Analysis

This practical book is designed for applied researchers who want to use mixed models with their data. It discusses the basic principles;

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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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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, and Mixed Models

linear and mixed models at the upper-undergraduate and beginning-graduate levels. It also serves as a valuable reference for applied;

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Theory, Numerics and Applications of Hyperbolic Problems II

Problems held in Aachen, Germany in summer 2016. It focuses on the theoretical, applied, and computational aspects of hyperbolic partial;

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Introduction to Mixed Modelling: Beyond Regression and Analysis of Variance

Mixed modelling is very useful, and easier than you think! Mixed modelling is now well established as a powerful approach to statistical;

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Mixed Models

literature between mathematical and applied statistical books by presenting a powerful examination of mixed model theory and application with special;

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Mixed-Effects Models in S and S-PLUS

An overview of the theory and application of linear and nonlinear mixed-effects models in the analysis of grouped data, such as;

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Mixed-Effects Models in S and S-PLUS

An overview of the theory and application of linear and nonlinear mixed-effects models in the analysis of grouped data, such as;

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Linear Model Theory

analysis and for developing new statistical methods. Most books on the subject have historically discussed univariate, multivariate, and mixed;

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Linear Models in Statistics

concepts. The linear model remains the main tool of the applied statistician and is central to the training of any statistician regardless;

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Mixed Effects Models for Complex Data

Although standard mixed effects models are useful in a range of studies, other approaches must often be used in correlation with them when;

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Mixed Effects Models for Complex Data

Although standard mixed effects models are useful in a range of studies, other approaches must often be used in correlation with them when;

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SAS for Mixed Models, Second Edition

The indispensable, up-to-date guide to mixed models using SAS®. Discover the latest capabilities available for a variety of applications;

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Univariate and Multivariate General Linear Models

Researchers and students of applied statistics and the social and behavioral sciences will find this book indispensable for understanding;

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Robust Mixed Model Analysis

Mixed-effects models have found broad applications in various fields. As a result, the interest in learning and using these models;

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Statistical Tests for Mixed Linear Models

An advanced discussion of linear models with mixed or random effects. In recent years a breakthrough has occurred in our ability to draw;

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Bayesian Analysis of Linear Models

methods of estimation, hypothesis,testing, and forecasting as applied to the standard populations ... somethinginnovative-a new approach to mixed;

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Bayesian Analysis of Linear Models

methods of estimation, hypothesis,testing, and forecasting as applied to the standard populations ... somethinginnovative-a new approach to mixed;

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Applied Linear Statistical Models

There are two approaches to undergraduate and graduate courses in linear statistical models and experimental design in applied statistics;

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Multivariate, Multilinear and Mixed Linear Models

This book presents the latest findings on statistical inference in multivariate, multilinear and mixed linear models, providing a holistic;

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Dynamical Biostatistical Models

of the advanced methods, such as multistate and joint models, can be applied using SAS or R software. The book describes advanced;

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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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