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Modeling Longitudinal Data
Overview of attention for book
Modeling Longitudinal Data
Springer New York
Table of Contents
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Book Overview
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Chapter 1
Introduction to Longitudinal Data
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Chapter 2
Plots
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Chapter 3
Simple Analyses
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Chapter 4
Critiques of Simple Analyses
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Chapter 5
The Multivariate Normal Linear Model
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Chapter 6
Tools and Concepts
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Chapter 7
Specifying Covariates
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Chapter 8
Modeling the Covariance Matrix
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Chapter 9
Random Effects Models
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Chapter 10
Residuals and Case Diagnostics
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Chapter 11
Discrete Longitudinal Data
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Chapter 12
Missing Data
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Chapter 13
Analyzing Two Longitudinal Variables
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Chapter 14
Further Reading
Overall attention for this book and its chapters
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Mentioned by
syllabi
4
institutions with syllabi
Readers on
mendeley
235
Mendeley
Book overview
1. Introduction to Longitudinal Data
2. Plots
3. Simple Analyses
4. Critiques of Simple Analyses
5. The Multivariate Normal Linear Model
6. Tools and Concepts
7. Specifying Covariates
8. Modeling the Covariance Matrix
9. Random Effects Models
10. Residuals and Case Diagnostics
11. Discrete Longitudinal Data
12. Missing Data
13. Analyzing Two Longitudinal Variables
14. Further Reading
Summary
Syllabi
This data is correct as of December 2015 - for more up to date information, please visit
https://opensyllabus.org/
So far, Altmetric has seen this research output assigned in
7
syllabi from
4
institutions on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
University of California-Los Angeles
3
Public Health
University of Florida
1
Unknown
University of Maryland-College Park
1
Unknown
Unknown
2
Unknown