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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Analyzing inequalities: a multifaceted perspective of OECD welfare regimes during the Great Recession and the Pandemic

Article in International Review of Economics (April 2024)

Statistical Regression Modeling with R, Longitudinal and Multi-level Modeling

Monograph (January 2021)

A two-stage Generalized Method of Moments model for feedback with time-dependent covariates

Article in Statistical Methods in Medical Research (December 2020)

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