Summary
Contents
Jason W. Osborne's Best Practices in Logistic Regression provides students with an accessible, applied approach that communicates logistic regression in clear and concise terms. The book effectively leverages readers’ basic intuitive understanding of simple and multiple regression to guide them into a sophisticated mastery of logistic regression. Osborne's applied approach offers students and instructors a clear perspective, elucidated through practical and engaging tools that encourage student comprehension.
Multinomial and Ordinal Logistic Regression
Multinomial and Ordinal Logistic Regression
Not all outcomes are simple dichotomous variables. Graduation, for example, can be broken into more than two groups. Some students graduate, but not on time. Some students drop out of school and then come back. Smoking status, as we have seen in previous chapters, is rarely as simple as whether you ever smoked or not. There are different types of diabetes, as well—Type I (usually diagnosed in childhood) and Type II (more traditionally diagnosed in adulthood), which might have different risk factors and prognoses. Even marijuana use could be more subtly classified. Is it fair to group people who tried it once with people who are frequent users? In our previous analyses we did, comparing individuals who “never” ...
