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Models for Discrete Longitudinal Data

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Cover of 'Models for Discrete Longitudinal Data'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction
  3. Altmetric Badge
    Chapter 2 Motivating Studies
  4. Altmetric Badge
    Chapter 3 Generalized Linear Models
  5. Altmetric Badge
    Chapter 4 Linear Mixed Models for Gaussian Longitudinal Data
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    Chapter 5 Model Families
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    Chapter 6 The Strength of Marginal Models
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    Chapter 7 Likelihood-based Marginal Models
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    Chapter 8 Generalized Estimating Equations
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    Chapter 9 Pseudo-Likelihood
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    Chapter 10 Fitting Marginal Models with SAS
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    Chapter 11 Conditional Models
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    Chapter 12 Pseudo-Likehood
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    Chapter 13 From Subject-specific to Random-effects Models
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    Chapter 14 The Generalized Linear Mixed Model (GLMM)
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    Chapter 15 Fitting Generalized Linear Mixed Models with SAS
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    Chapter 16 Marginal versus Random-effects Models
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    Chapter 17 The Analgesic Trial
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    Chapter 18 Ordinal Data
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    Chapter 19 The Epilepsy Data
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    Chapter 20 Non-linear Models
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    Chapter 21 Pseudo-Likelihood for a Hierarchical Model
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    Chapter 22 Random-effects Models with Serial Correlation
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    Chapter 23 Non-Gaussian Random Effects
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    Chapter 24 Joint Continuous and Discrete Responses
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    Chapter 25 High-dimensional Joint Models
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    Chapter 26 Missing Data Concepts
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    Chapter 27 Simple Methods, Direct Likelihood, and Weighted Generalized Estimating Equations
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    Chapter 28 Multiple Imputation and the Expectation-Maximization Algorithm
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    Chapter 29 Selection Models
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    Chapter 30 Pattern-mixture Models
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    Chapter 31 Sensitivity Analysis
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    Chapter 32 Incomplete Data and SAS
Attention for Chapter 21: Pseudo-Likelihood for a Hierarchical Model
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Chapter title
Pseudo-Likelihood for a Hierarchical Model
Chapter number 21
Book title
Models for Discrete Longitudinal Data
Published by
Springer, New York, NY, January 2005
DOI 10.1007/0-387-28980-1_21
Book ISBNs
978-0-387-25144-8, 978-0-387-28980-9
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 50%
Researcher 1 25%
Unknown 1 25%
Readers by discipline Count As %
Arts and Humanities 2 50%
Mathematics 1 25%
Unknown 1 25%