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.
Chapter 3: Performing Simple Logistic Regression
Performing Simple Logistic Regression
Simple Binary Logistic Regression with One Independent Variable
In this chapter, we will use two examples—one from the medical research literature and one from the social sciences—to illustrate our first examples of a complete logistic regression analysis. I tend to use SPSS as it is more prevalent in many areas of the social sciences (and the software I have used most for the past 20 years) although SAS, STATA, R, and most other commonly used statistical computing packages will produce similar output. Throughout the rest of the book, I will alternate examples between SAS and SPSS and will provide example syntax (where necessary) for both.
The first example will look at one binary outcome (whether a patient has been diagnosed with diabetes) ...