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.

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"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

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