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Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates

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Cover of 'Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates'

Table of Contents

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    Book Overview
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    Chapter 1 Review of Estimators for Regression Models
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    Chapter 2 Generalized Estimating Equation and Generalized Linear Mixed Models Generalized linear mixed models
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    Chapter 3 GMM Generalized methods of moments (GMMs) Marginal Regression Models for Correlated Data Correlated data with Grouped Moments Grouped moments
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    Chapter 4 GMM Generalized methods of moments (GMMs) Regression Models for Correlated Data Correlated data with Unit Moments Unit moments
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    Chapter 5 Partitioned GMM Partitioned GMM Logistic Regression Logistic regression Models for Longitudinal Data Longitudinal data
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    Chapter 6 Partitioned GMM Partitioned GMM for Correlated Data Correlated data with Bayesian Intervals Bayesian estimates
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    Chapter 7 Simultaneous Modeling with Time-Dependent Covariates Time-dependent covariates and Bayesian Intervals
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    Chapter 8 A Two-Part GMM Two-part GMM Model for Impact and Feedback for Time-Dependent Covariates Time-dependent covariates
Attention for Chapter 2: Generalized Estimating Equation and Generalized Linear Mixed Models Generalized linear mixed models
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Chapter title
Generalized Estimating Equation and Generalized Linear Mixed Models Generalized linear mixed models
Chapter number 2
Book title
Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates
Published by
Springer, Cham, January 2020
DOI 10.1007/978-3-030-48904-5_2
Book ISBNs
978-3-03-048903-8, 978-3-03-048904-5
Authors

Jeffrey R. Wilson, Elsa Vazquez-Arreola, (Din) Ding-Geng Chen, Wilson, Jeffrey R., Vazquez-Arreola, Elsa, Chen, (Din) Ding-Geng

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