Multivariate Permutation Tests: With Applications in Biostatistics - Hardcover

Pesarin

Hardcover

ISBN 10: 0471496707 ISBN 13: 9780471496700

Verlag: John Wiley & Sons, 2001

Inhaltsangabe

Complex multivariate problems are frequently encountered in many scientific disciplines and it can be very difficult to obtain meaningful results. Permutation and nonparametric combination methods provide flexible solutions to complex problems by reducing the problem down to a set of simpler sub-problems. The author presents a novel but well tested approach using real examples taken from biomedical research. Statistical analyses are performed in a nonparametric setting, so that no assumptions need be made about the underlying distribution and the dependence relations between variables.

* Provides a clear exposition of the use of multivariate permutation testing, with emphasis on the use of nonparametric combination methodology.
* Growing area of research with many practical applications, notably in biostatistics.
* Numerous case studies and examples help to illustrate the theory.
* Provides solutions to multi-aspect problems, to problems with missing data, analysis of factorial designs and repeated measures.
* Explains the analysis of categorical, ordered categorical, binary, continuous, and mixed variables in both an experimental and an observational context.
* NPC-Test(c) software (demo copy), SAS macros, S-Plus code and datasets are available on the Web at
http://www.stat.unipd.it/~pesarin/
For researchers and practitioners in a number of scientific disciplines, particularly biostatistics, the vast collection of techniques, examples and case studies will be an invaluable resource. Graduate students of applied statistics and nonparametric methods will find the book provides an accessible introduction to multivariate permutation testing.

Über diesen Titel

Über die Autorin bzw. den Autor

Fortunato Pesarin is with the Department of Statistics, University of Padova, Italy. Professor Pesarin has been actively involved in the areas of multidimensional testing and permutation for almost 40 years, and is the author of dozens of publications in numerous international journals.

Von der hinteren Coverseite

Complex multivariate problems are frequently encountered in many scientific disciplines and it can be very difficult to obtain meaningful results. Permutation and nonparametric combination methods provide flexible solutions to complex problems by reducing the problem down to a set of simpler sub-problems. The author presents a novel but well tested approach using real examples taken from biomedical research. Statistical analyses are performed in a nonparametric setting, so that no assumptions need be made about the underlying distribution and the dependence relations between variables.
* Provides a clear exposition of the use of multivariate permutation testing, with emphasis on the use of nonparametric combination methodology.
* Explores a growing area of research with many practical applications, notably in biostatistics.
* Numerous case studies and examples help to illustrate the theory.
* Provides solutions to multi-aspect problems, to problems with missing data, analysis of factorial designs and repeated measures.
* Explains the analysis of categorical, ordered categorical, binary, continuous, and mixed variables in both an experimental and an observational context.
* NPC-Test software, SAS macros, S-Plus code, and datasets are available on the Web.
For researchers and practitioners in a number of scientific disciplines, particularly biostatistics, the vast collection of techniques, examples and case studies will be an invaluable resource. Graduate students of applied statistics and nonparametric methods will find the book provides an accessible introduction to multivariate permutation testing.

Details zur Ausgabe

• Verlag: John Wiley & Sons
• Erscheinungsdatum: 2001
• Sprache: Englisch
• ISBN 10: 0471496707
• ISBN 13: 9780471496700
• Einband: Tapa dura
• Anzahl der Seiten: 436
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Nicht verfügbar