Statistical Methods for the Analysis of Biomedical Data Contributor(s): Woolson, Robert F. (Author), Clarke, William R. (Author) |
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ISBN: 047139405X ISBN-13: 9780471394051 Publisher: Wiley-Interscience OUR PRICE: $178.55 Product Type: Hardcover - Other Formats Published: May 2002 Annotation: Praise for the First Edition "This text is a very welcome addition to the field, both as a reference and classroom text." "This book is a perfectly organized source of reference for elementary statistical procedures used in clinical trials." "I would recommend this book as an introductory biostatistics text for its clear presentation and worked examples, particularly in the chapters on the comparison of groups." Statistical Methods for the Analysis of Biomedical Data surveys a number of statistical topics commonly used in the analysis of biological and medical data, as well as several other topics such as observer agreement, standardization of rates, and methods for analysis of odds ratio. Applied in its approach, the book describes statistical procedures through the introduction of worked examples for each procedure. The Second Edition includes a new chapter on multiple linear regression methods, new sections in each chapter on using SAS for computations, and revised and expanded problems. This authoritative volume also:
Statistical Methods for the Analysis of Biomedical Data makes an ideal reference for analysts and researchers in biostatistics, medicine, and other health-related fields, as well as a textbook for graduate courses in biostatistics. |
Additional Information |
BISAC Categories: - Medical | Biostatistics - Medical | Public Health |
Dewey: 610.21 |
LCCN: 2002282850 |
Series: Wiley Probability and Statistics |
Physical Information: 1.5" H x 6.12" W x 9.52" (2.40 lbs) 720 pages |
Descriptions, Reviews, Etc. |
Publisher Description: Dieser Band behandelt eine Reihe statistischer Themen, die bei der Analyse biologischer und medizinischer Daten allgemein Anwendung finden. Diese 2. Auflage wurde komplett überarbeitet, aktualisiert und erweitert. Einige Kapitel sind neu hinzugekommen, u.a. zur multiplen linearen Regression in der biomedizinischen Forschung. Der Stoff ist so gegliedert, dass der Leser den Text unabhängig von der jeweiligen statistischen Methode leicht nach Problemstellungen durchsuchen kann. Mit zahlreichen durchgearbeiteten Beispielen, die detaillierte Lösungsangaben zu Problemen aus der Praxis liefern. |