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Logistic回归模型-Logistic regression models文件编号:46

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标题(title):Logistic regression models
Logistic回归模型
作者(author):Hilbe, Joseph M
出版社(publisher):CRC Press
大小(size):5 MB (4912579 bytes)
格式(extension):pdf
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This text presents an overview of the full range of logistic models, including binary, proportional, ordered, and categorical response regression procedures. It illustrates how to apply the models to medical, health, environmental/ecological, physical, and social science data. Stata is used to develop, evaluate, and display most models while R code is given at the end of most chapters. The author examines the theoretical foundation of the models and describes how each type of model is established, interpreted, and evaluated as to its goodness of fit. Example data sets are available online in various formats and a solutions manual is available for qualifying instructors. Read more...
Abstract: Presents an overview of the logistic models, including binary, proportional, ordered, partially ordered, and unordered categorical response regression procedures. This book discusses other topics such as panel, survey, skewed, penalized, and exact logistic models. It illustrates how to apply the various models to health, and social science data. Read more...
Table of contents :
Content: Concepts related to the logistic model --
Estimation methods --
Derivation of the binary logistic algorithm --
Model development --
Interactions --
Analysis of model fit --
Binomial logistic regression --
Overdispersion --
Ordered logistic regression --
Multinomial logistic regression --
Alternative categorical response models --
Panel models --
Other types of logistic-based models --
Exact logistic regression.

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