Nonparametric Analysis of Longitudinal Data in Factorial Experiments
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More About This Title Nonparametric Analysis of Longitudinal Data in Factorial Experiments
English
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.
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.
English
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.
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.
English
"...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)
