Models for Discreet Data - Hardcover

Zelterman, Daniel

Hardcover

ISBN 10: 0198524366 ISBN 13: 9780198524366

Publisher: OUP Oxford, 1999

Synopsis

Discrete data come about in experiments in which individuals are classified into one of several discrete categories. For example, laboratory mice can simultaneously be categorized as to whether or not they were exposed to a carcinogen and whether or not they subsequently developed cancer. This volume describes the statistical models for the analysis and summary of such data, along with relevant computer programmes written in SAS.

About this title

Review

"Its level is suitable for graduate courses in statistics and biostatistics departments and the examples given have a decidedly health/medical bias. It is noteworthy that throughout the book, the software in integrated into the text."-- Quarterly of Applied Mathematics "This book does a nice job of blending the theory and applications and is suitable for a one-semester graduate-level course. It is also a useful book for practitioners, especially in health and medical sciences." -- Technometrics, Aug 2000, Vol 42, No 3 "Its level is suitable for graduate courses in statistics and biostatistics departments and the examples given have a decidedly health/medical bias. It is noteworthy that throughout the book, the software in integrated into the text."-- Quarterly of Applied Mathematics "This book does a nice job of blending the theory and applications and is suitable for a one-semester graduate-level course. It is also a useful book for practitioners, especially in health and medical sciences." -- Technometrics, Aug 2000, Vol 42, No 3 "Its level is suitable for graduate courses in statistics and biostatistics departments and the examples given have a decidedly health/medical bias. It is noteworthy that throughout the book, the software in integrated into the text."-- Quarterly of Applied Mathematics "This book does a nice job of blending the theory and applications and is suitable for a one-semester graduate-level course. It is also a useful book for practitioners, especially in health and medical sciences." -- Technometrics, Aug 2000, Vol 42, No 3 "Its level is suitable for graduate courses in statistics and biostatistics departments and the examples given have a decidedly health/medical bias. It is noteworthy that throughout the book, the software in integrated into the text."-- Quarterly of Applied Mathematics "This book does a nice job of blending the theory and applications and is suitable for a one-semester graduate-level course. It is also a useful book for practitioners, especially in health and medical sciences." -- Technometrics, Aug 2000, Vol 42, No 3

About the Author

Daniel Zelterman is Professor of Biostatistics in the Yale School of Public Health and Director of the Biostatistics Core of the Yale Comprehensive Cancer Center. He previously held academic positions at the University of Minnesota and at the State University of New York at Albany. He is an elected Fellow of the American Statistical Association. He is an Associate Editor of Biometrics and several other statistical journals.

Edition details

• Publisher: OUP Oxford
• Publication date: 1999
• Language: English
• ISBN 10: 0198524366
• ISBN 13: 9780198524366
• Binding: Hardcover
• Number of pages: 244