Nonparametric Analysis of Longitudinal Data in Factorial Experiments
Published on 26. November 2001
Book
Hardback
288 pages
978-0-471-44166-3 (ISBN)
Description
Adequate methods for evaluating longitudinal data are vital to such fields as medical research and the biological and social sciences. Emphasizing the advantages of using nonparametric methods in statistical procedures, this volume defines the methods and shows their practical procedures. Using numerous examples, it introduces systematic models and describes procedures for their analyses.
Reviews / Votes
"...An excellent book on a topic of great importance..." (Zentralblatt Math, Vol.984, No. 09, 2002) "...a welcome addition to the vast literature on longitudinal studies..." (Biometrics, December 2002) "...rich in both research and practical experiences of all three authors. The reader will definitely find this book extremely valuable..." (Technometrics, Vol. 45, No. 2, May 2003)More details
Series
Language
English
Place of publication
New York
United States
Publishing group
John Wiley and Sons Ltd
Target group
College/higher education
Professional and scholarly
Illustrations
references, glossary, index
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 18 mm
Weight
510 gr
ISBN-13
978-0-471-44166-3 (9780471441663)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Persons
EDGAR BRUNNER is Head of the Department of Medical Statistics at the University of Gottingen, Germany. SEBASTIAN DOMHOF is Assistant Professor in the Department of Medical Statistics at the University of Gottingen, Germany. FRANK LANGER is a Statistician at Lilly Deutschland GmbH, Bad Homburg, Germany.
Content
Preface. Acknowledgments. Introduction. Models. Effects and Hypotheses. Estimators for Relative Effects. Test Statistics. Software. Experiments for One Group of Subjects. Experiements for Several Groups of Subjects. Dependent Replications. Multifactorial Experiments. Numerous Time Points. References. Appendix A: Original Data. Appendix B: Results from the SAS Macros. Glossary. Index.