Practical Guide to Logistic Regression: 1st Edition (e-Book) book cover

Practical Guide to Logistic Regression

1st Edition

By Joseph M. Hilbe

Chapman and Hall/CRC

174 pages

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Paperback: 9781498709576
pub: 2015-07-09
Hardback: 9781138469433
pub: 2018-06-28
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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, fishe

Table of Contents

Statistical Models. Logistic Models: Single Predictor. Logistic Models: Multiple Predictors. Testing and Fitting a Logistic Model. Grouped Logistic Regression. Bayesian Logistic Regression.

About the Author

Joseph M. Hilbe is a Solar System Ambassador with NASA's Jet Propulsion Laboratory at the California Institute of Technology, an adjunct professor of statistics at Arizona State University, and an emeritus professor at the University of Hawaii. He also teaches five web-based courses on statistical modeling at He is president of the International Astrostatistics Association, elected fellow of the American Statistical Association, elected member of the International Statistical Institute, and full member of the American Astronomical Society.

Professor Hilbe is one of the world's leading statisticians in modeling discrete and longitudinal data. He has authored 16 books related to statistical modeling, including the best-selling Logistic Regression Models and Modeling Count Data.

During the late 1980s and 1990s, Professor Hilbe was a leading figure in the then new area of health outcomes research, serving as director of research at a national chain of hospitals and later CEO of a national health economics firm. He was also on the executive committee forming the Health Policy Statistics Section of the American Statistical Association.

Subject Categories

BISAC Subject Codes/Headings:
MATHEMATICS / Probability & Statistics / General