Springer Series in Statistics: Linear Mixed Models for Longitudinal Data

Verbeke, Geert

ISBN 10: 0387950273 / ISBN 13: 9780387950273

Published by Springer, 2000

About this Item

This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1000grams, ISBN:9780387950273.

Seller Inventory # 2331683

Bibliographic Details

• Title: Springer Series in Statistics: Linear Mixed Models for Longitudinal Data
• Publisher: Springer
• Publication Date: 2000
• Language: English
• ISBN 10: 0387950273
• ISBN 13: 9780387950273
• Binding: Hardcover
• Condition: Good
• Weight: 1000 grams
• Seller catalogs:
  • Mathematics

About this title

Synopsis

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.

About the Author

Geert Verbeke is Assistant Professor at the Biostistical Centre of the Katholieke Universiteit Leuven in Belgium. He received the B.S. degree in mathematics (1989) from the Katholieke Universiteit Leuven, the M.S. in biostatistics (1992) from the Limburgs Universitair Centrum, and earned a Ph.D. in biostatistics (1995) from the Katholieke Universiteit Leuven. Dr. Verbeke wrote his dissertation, as well as a number of methodological articles, on various aspects of linear mixed models for longitudinal data analysis. He has held visiting positions at the Gerontology Research Center and the Johns Hopkins University. Geert Molenberghs is Assistant Professor of Biostatistics at the Limburgs Universitair Centrum in Belgium.