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Linear mixed models for longitudinal data (Record no. 186562)

000 -LEADER
fixed length control field 01823 a2200229 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220429181906.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220429b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780387950273
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.5
Item number VER
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Verbeke, Geert
9 (RLIN) 32235
245 ## - TITLE STATEMENT
Title Linear mixed models for longitudinal data
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. New York :
Name of publisher, distributor, etc. Springer,
Date of publication, distribution, etc. 2000
300 ## - PHYSICAL DESCRIPTION
Extent xxii, 568 p. ;
Dimensions 24 cm.
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Springer Series in Statistics
9 (RLIN) 32820
500 ## - GENERAL NOTE
General note Content :<br/><br/> 1. Introduction --<br/>2. Examples --<br/>3. A Model for Longitudinal Data --<br/>4. Exploratory Data Analysis --<br/>5. Estimation of the Marginal Model --<br/>6. Inference for the Marginal Model --<br/>7. Inference for the Random Effects --<br/>8. Fitting Linear Mixed Models with SAS --<br/>9. General Guidelines for Model Building --<br/>10. Exploring Serial Correlation --<br/>11. Local Influence for the Linear Mixed Model --<br/>12. The Heterogeneity Model --<br/>13. Conditional Linear Mixed Models --<br/>14. Exploring Incomplete Data --<br/>15. Joint Modeling of Measurements and Missingness --<br/>16. Simple Missing Data Methods --<br/>17. Selection Models --<br/>18. Pattern-Mixture Models --<br/>19. Sensitivity Analysis for Selection Models --<br/>20. Sensitivity Analysis for Pattern-Mixture Models --<br/>21. How Ignorable Is Missing At Random? --<br/>22. The Expectation-Maximization Algorithm --<br/>23. Design Considerations --<br/>24. Case Studies --
520 ## - SUMMARY, ETC.
Summary, etc. 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.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Longitudinal method
9 (RLIN) 32821
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematics
9 (RLIN) 32822
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Linear models (Statistics)
9 (RLIN) 32823
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Molenberghs, Geert
9 (RLIN) 32824
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Integrative Medicine
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Full call number Barcode Date last seen Cost, replacement price Price effective from Koha item type
          Library and Information Centre Library and Information Centre Book section 22/04/2022 2 0.00 519.5 VER 30327 22/04/2022 10655.11 22/04/2022 Books
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