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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 6: Partitioned GMM Partitioned GMM for Correlated Data Correlated data with Bayesian Intervals Bayesian estimates
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