TY  - BOOK
AU  - Hilbe,Joseph M.
TI  - Practical guide to logistic regression
SN  - 9781498709576 (pbk. : alk. paper)
U1  - 000SA.063 23
PY  - 2016///
CY  - Boca Raton
PB  - CRC Press
KW  - Logistic regression analysis
KW  - Regression analysis
KW  - Multivariate analysis
KW  - Statistics
N1  - Includes bibliographical references and index; 1. Statistical models --
2. Logistic models: single predictor --
3. Logistic models: multiple predictors --
4. Testing and fitting a logistic model --
5. Grouped logistic regression --
6. Bayesian logistic regression
N2  - Practical Guide to Logistic Regression covers the key points of the basic logistic regression model and illustrates how to use it properly to model a binary response variable. This powerful methodology can be used to analyze data from various fields, including medical and health outcomes research, business analytics and data science, ecology, fisheries, astronomy, transportation, insurance, economics, recreation, and sports. By harnessing the capabilities of the logistic model, analysts can better understand their data, make appropriate predictions and classifications, and determine the odds of one value of a predictor compared to another
ER  -