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Linear mixed models for longitudinal data
Overview of attention for book
Table of Contents
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Book Overview
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Chapter 1
Introduction
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Chapter 2
Examples
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Chapter 3
A Model for Longitudinal Data
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Chapter 4
Exploratory Data Analysis
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Chapter 5
Estimation of the Marginal Model
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Chapter 6
Inference for the Marginal Model
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Chapter 7
Inference for the Random Effects
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Chapter 8
Fitting Linear Mixed Models with SAS
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Chapter 9
General Guidelines for Model Building
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Chapter 10
Exploring Serial Correlation
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Chapter 11
Local Influence for the Linear Mixed Model
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Chapter 12
The Heterogeneity Model
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Chapter 13
Conditional Linear Mixed Models
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Chapter 14
Exploring Incomplete Data
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Chapter 15
Joint Modeling of Measurements and Missingness
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Chapter 16
Simple Missing Data Methods
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Chapter 17
Selection Models
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Chapter 18
Pattern-Mixture Models
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Chapter 19
Sensitivity Analysis for Selection Models
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Chapter 20
Sensitivity Analysis for Pattern-Mixture Models
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Chapter 21
How Ignorable Is Missing At Random?
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Chapter 22
The Expectation-Maximization Algorithm
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Chapter 23
Design Considerations
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Chapter 24
Case Studies
Overall attention for this book and its chapters
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Mentioned by
blogs
1
blog
syllabi
10
institutions with syllabi
Readers on
mendeley
2
Mendeley
Book overview
1. Introduction
2. Examples
3. A Model for Longitudinal Data
4. Exploratory Data Analysis
5. Estimation of the Marginal Model
6. Inference for the Marginal Model
7. Inference for the Random Effects
8. Fitting Linear Mixed Models with SAS
9. General Guidelines for Model Building
10. Exploring Serial Correlation
11. Local Influence for the Linear Mixed Model
12. The Heterogeneity Model
13. Conditional Linear Mixed Models
14. Exploring Incomplete Data
15. Joint Modeling of Measurements and Missingness
16. Simple Missing Data Methods
17. Selection Models
18. Pattern-Mixture Models
19. Sensitivity Analysis for Selection Models
20. Sensitivity Analysis for Pattern-Mixture Models
21. How Ignorable Is Missing At Random?
22. The Expectation-Maximization Algorithm
23. Design Considerations
24. Case Studies
Summary
Blogs
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
25
syllabi from
10
institutions on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
George Mason University
4
Business
University of Washington-Seattle Campus
3
Business, Sociology
University of Wisconsin-Madison
3
Business
University of Vermont
3
Psychology
North Carolina State University at Raleigh
2
Education
University of Lancaster
2
Biology
London School of Economics and Political Science, University of London
1
Unknown
Washington University in St Louis
1
Unknown
University of Maryland-College Park
1
Unknown
Unknown
5
Unknown