Abstract
Logistic regression with a binary predictor and binary outcome variable can predict the effect of a better treatment on a better outcome (see previous chapter). If your predictor is continuous, like age, it can predict the odds of responding ( = ratio of responders/non responders per subgroup, e.g., per year).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Cleophas, T.J., Zwinderman, A.H. (2016). Logistic Regression with a Continuous Predictor (55 Patients). In: SPSS for Starters and 2nd Levelers. Springer, Cham. https://doi.org/10.1007/978-3-319-20600-4_37
Download citation
DOI: https://doi.org/10.1007/978-3-319-20600-4_37
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-20599-1
Online ISBN: 978-3-319-20600-4
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)