Modelling Binary Data (Chapman & Hall/CRC Texts in Statistical Science) - Softcover

Collett, D.

Softcover

ISBN 10: 0412388006 ISBN 13: 9780412388002

Publisher: Chapman and Hall/CRC, 1991

Synopsis

This book shows how binary data, that is data that can take one of two possible forms, such as alive or dead, and success or failure can be analyzed using statistical modeling. The role of the linear logistic model is particularly stressed, but models based on the complementary log-log transformations are also introduced. Throughout this book, the practical aspects of the modeling approach are emphasized. Indeed the book begins by describing a number of studies in which binary data were recorded.

About this title

Review

Praise for the first edition: "A merit of the book, considerably enhancing its practical value, is the detailed discussion of computational issues and software. Overall the book provides an accessible and effective presentation of the topic. I recommend it." -Journal of Applied Statistics "In summary, this book draws together material on many practical aspects of the analysis of binary data, which was unavailable before in a single book. Applied statisticians, at any level, will learn something from it." -The Statistician "well written, contains good examples, and ideas and concepts are developed and explained logically and clearlyI can strongly recommend this book as a handy reference for applied statisticians and other researchers with a good background in statistical methods I also appreciated having a book that seems to have very few errors of any kind!" -Biometrics

Synopsis

Data are said to be binary when each observation falls into one of two categories, such as alive or dead, positive or negative, defective or non-defective and success or failure. In this book, it is shown how data of this type can be analyzed using a modelling approach. It is designed to meet the need of a textbook of an intermediate level which dwells on the practical aspects of modelling binary data, which incorporates recent work on checking the adequacy of fitted models and which shows how modern computational facilities can be exploited. The book begins with a description of a number of studies in which binary data have been collected. These data sets, and others, are then used to illustrate the techniques that are presented in the subsequent chapters. The majority of the examples are drawn from the agricultural, biological and medical sciences. Following this, a number of standard statistical procedures based on binomial distribution are described. The book then introduces the modelling approach, with particular emphasis on the linear logistic model, and covers the analysis of binary data from biological assays and other applications.

Further topics discussed include model checking diagnostics, models for overdispersed data, analyzing data from cohort and case-control studies and statistical software packages. Suggestions for further reading are included in each chapter. The book is aimed at statisticians in the pharmaceutical industry and those engaged in agricultural, biological, industrial and medical research, who need to analyze binary data.

Edition details

• Publisher: Chapman and Hall/CRC
• Publication date: 1991
• Language: English
• ISBN 10: 0412388006
• ISBN 13: 9780412388002
• Binding: Paperback
• Edition number: 1
• Number of pages: 384