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Practical Guide to Logistic Regression by Hilbe, Joseph M is a nonfiction available to read on EtoBox.
What is Practical Guide to Logistic Regression about?
"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. Drawing on his many years of teaching logistic regression, using logistic-based models in research, and writing about the subject, Professor Hilbe focuses on the most important features of the logistic model. Serving as a guide between the author and readers, the book explains how to construct a logistic model, interpret coefficients and odds ratios, predict probabilities and their standard errors based on the model, and evaluate the model as to its fit. Using a variety of real data examples, mostly from health outcomes, the author offers a basi
Who reads Practical Guide to Logistic Regression?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Hilbe, Joseph M
- Publisher
- CRC Press/Taylor & Francis
- Published
- 2016
- Language
- EN
- ISBN
- 9781498709576
- Category
- nonfiction
- Subjects
- Science, Stem
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