Coverart for item
The Resource Linear mixed models for longitudinal data, Geert Verbeke, Geert Molenberghs

Linear mixed models for longitudinal data, Geert Verbeke, Geert Molenberghs

Label
Linear mixed models for longitudinal data
Title
Linear mixed models for longitudinal data
Statement of responsibility
Geert Verbeke, Geert Molenberghs
Creator
Contributor
Subject
Genre
Language
eng
Summary
  • The SAS routines on mixed models have applications in many areas of statistics, especially biostatistics, but the procedures are not well- documented. Based on short courses given by the authors, this book provides practical guidance for SAS users
  • "This book provides a comprehensive treatment of linear mixed models, a technique devised to analyze continuous correlated data. It focuses on examples from designed experiments and longitudinal studies. The target audience includes applied statisticians and biomedical researchers in industry, public health organizations, contract research organizations, and academia. The book is explanatory rather than mathematically rigorous. Although most analyses were done with the MIXED procedure of the SAS software package, and many of its features are clearly elucidated, considerable effort was spent in presenting the data analyses in a software-independent fashion."--BOOK JACKET
Member of
Cataloging source
DLC
http://library.link/vocab/creatorName
Verbeke, Geert
Dewey number
519.5/3
Illustrations
illustrations
Index
index present
Language note
English
LC call number
QA279
LC item number
.V458 2000
Literary form
non fiction
Nature of contents
bibliography
http://library.link/vocab/relatedWorkOrContributorName
Molenberghs, Geert
Series statement
Springer series in statistics
http://library.link/vocab/subjectName
  • Linear models (Statistics)
  • Longitudinal method
  • Mathematics
  • Linear Models
  • Longitudinal Studies
  • Statistics as Topic
Label
Linear mixed models for longitudinal data, Geert Verbeke, Geert Molenberghs
Instantiates
Publication
Bibliography note
Includes bibliographical references (pages [523]-553) and index
Carrier category
volume
Carrier category code
nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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 -- App. B. Technical Details for Sensitivity Analysis
Control code
54850270
Dimensions
25 cm
Extent
xxii, 568 pages
Isbn
9780387982229
Isbn Type
(alk. paper)
Lccn
00026596
Media category
unmediated
Media MARC source
rdamedia
Media type code
n
Other physical details
illustrations
Label
Linear mixed models for longitudinal data, Geert Verbeke, Geert Molenberghs
Publication
Bibliography note
Includes bibliographical references (pages [523]-553) and index
Carrier category
volume
Carrier category code
nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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 -- App. B. Technical Details for Sensitivity Analysis
Control code
54850270
Dimensions
25 cm
Extent
xxii, 568 pages
Isbn
9780387982229
Isbn Type
(alk. paper)
Lccn
00026596
Media category
unmediated
Media MARC source
rdamedia
Media type code
n
Other physical details
illustrations

Library Locations

    • Ellis LibraryBorrow it
      1020 Lowry Street, Columbia, MO, 65201, US
      38.944491 -92.326012
Processing Feedback ...