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.
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Introduction Statistical Inference for Binary Data. Models for Binary and Binomial Data. Bioassay and Some Other Applications. Model Checking. Overdispersion. Modelling Data from Epidemiological Studies. Some Additional Topics. Computer Software for Modelling Binary Data. Appendices. References. Index of Examples. Index.
Book by Collett D
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