Linear Mixed Models for Longitudinal Data
This paperback edition is a reprint of the 2000 edition. This book provides a comprehensive treatment of linear mixed models for continuous longitudinal data. Next to model formulation, this edition puts major emphasis on exploratory data analysis for all
- PDF / 48,295,544 Bytes
- 578 Pages / 439 x 666 pts Page_size
- 29 Downloads / 208 Views
Geert Verbeke Biostatistical Centre K.U. Leuven B-300 Leuven Belgium
Geert Molenberghs Hasselt University 3590 Diepenbeek Belgium
Library of Congress Cataloging-in-Publication Data Verbeke, Geert. Linear mixed models for longitudinal data/Geert Verbeke, Geert Molenberghs. p. cm.—(Springer series in statistics) Includes bibliographical references and index. ISBN 978-1-4419-0299-3 (soft cover) 1. Linear models (Statistics). 2. Longitudinal methods. I. Molenberghs, Geert. II. Title. III. Series. QA279.V458 2000 519.5′3—dc21 00-026596
Printed on acid-free paper. © 2009 Springer Verlag New York, LLC All rights reserved. This work may not be translated or copied in whole or in part without the written permission of the publisher (Springer-Verlag New York, LLC, 233 Spring Street, New York, NY 10013), except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden. The use of general descriptive names, trade names, trademarks, etc., in this publication, even if the former are not especially identified, is not to be taken as a sign that such names, as understood by the Trade Marks and Merchandise Marks Act, may accordingly be used freely by anyone. Printed in the United States of America.
(HAM)
9876 Springer Verlag is a part of Springer Science + Business Media springeronline.com
