Interaction Effects in Logistic Regression

Interaction Effects in Logistic Regression
Author: James Jaccard
Publisher: SAGE Publications
Total Pages: 80
Release: 2001-02-21
Genre: Social Science
ISBN: 1544332599


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Oriented toward the applied researcher with a basic background in multiple regression and logistic regression, this book shows readers the general strategies for testing interactions in logistic regression as well as providing the tools to interpret and understand the meaning of coefficients in equations with product terms. Using completely worked-out examples, the author focuses on the interpretation of the coefficients of interactive logistic models for a wide range of scenarios encountered in the research literature. In addition, the author avoids complex formulas in favor of simple computer-based heuristics that permit the simple calculation of parameter estimates and estimated standard errors that will typically be of interest to applied researchers.


Interaction Effects in Logistic Regression
Language: en
Pages: 80
Authors: James Jaccard
Categories: Social Science
Type: BOOK - Published: 2001-02-21 - Publisher: SAGE Publications

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Oriented toward the applied researcher with a basic background in multiple regression and logistic regression, this book shows readers the general strategies fo
Interaction Effects in Multiple Regression
Language: en
Pages: 104
Authors: James Jaccard
Categories: Social Science
Type: BOOK - Published: 2003-03-05 - Publisher: SAGE Publications

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Interaction Effects in Multiple Regression has provided students and researchers with a readable and practical introduction to conducting analyses of interactio
Feature Engineering and Selection
Language: en
Pages: 266
Authors: Max Kuhn
Categories: Business & Economics
Type: BOOK - Published: 2019-07-25 - Publisher: CRC Press

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The process of developing predictive models includes many stages. Most resources focus on the modeling algorithms but neglect other critical aspects of the mode
Interpretable Machine Learning
Language: en
Pages: 320
Authors: Christoph Molnar
Categories: Artificial intelligence
Type: BOOK - Published: 2020 - Publisher: Lulu.com

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This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simp
Interpreting and Comparing Effects in Logistic, Probit, and Logit Regression
Language: en
Pages: 174
Authors: Jacques A. P. Hagenaars
Categories: Social Science
Type: BOOK - Published: 2024-01-16 - Publisher: SAGE Publications

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Log-linear, logit and logistic regression models are the most common ways of analyzing data when (at least) the dependent variable is categorical. This volume s