Logistic regression models
Hilbe, Joseph M
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.
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.
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.
年:
2009
出版社:
CRC Press
语言:
english
页:
637
ISBN 10:
1420075756
ISBN 13:
9781420075755
系列:
Texts in statistical science
文件:
PDF, 4.69 MB
IPFS:
,
english, 2009
Amazon 
Barnes & Noble 
Bookshop.org 
转换文件
更多搜索结果
其他特权 
关键词
关联书单
