Interaction effects in logistic regression (Q2716343)
From MaRDI portal
| This is the item page for this Wikibase entity, intended for internal use and editing purposes. Please use this page instead for the normal view: Interaction effects in logistic regression |
scientific article; zbMATH DE number 1598379
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Interaction effects in logistic regression |
scientific article; zbMATH DE number 1598379 |
Statements
14 May 2001
0 references
probabilities
0 references
odds
0 references
logistic regression models
0 references
categorical predictors
0 references
dummy variables
0 references
predicted values
0 references
transformations of predictor variables
0 references
hierarchically well-formulated models
0 references
product term analysis versus separate logistic
0 references
interactions
0 references
Interaction effects in logistic regression (English)
0 references
This booklet is an introduction to the analysis of interaction effects in logistic regression by means of product terms. The focus is on the interpretation of the coefficients of interactive logistic models for a wide range of scenarios encountered in the research literature. It is assumed that the reader is familiar with the basics of logistic regression and the concept of hierarchical logistic regression. The book is neither a technical nor an advanced exposition of this complex topic. The author's goal is to present a nontechnical, introductory orientation to the interpretation of logistic coefficients in simple product term models when the product terms are defined to explore certain forms of interactions.NEWLINENEWLINENEWLINEAlthough many books on logistic regression discuss general strategies for testing interactions, few provide readers with the tools to interpret and understand the meaning of coefficients in equations with product terms. This book fills this gap. The author explicitly avoids complex formulas that can be intimidating to the applied researcher. As an alternative, he provides the reader with simple (but cumbersome) computer-based heuristics that permit the simple calculation of parameter estimates and estimated standard errors that will typically be of interest.
0 references