Interaction Effects In Logistic Regression

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Interaction Effects In Logistic Regression

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Author : James Jaccard
language : en
Publisher: SAGE
Release Date : 2001-02-21

Interaction Effects In Logistic Regression written by James Jaccard and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-02-21 with Mathematics categories.

This work introduces 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.

Interaction Effects In Logistic Regression

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Author : James Jaccard
language : en
Publisher: SAGE Publications
Release Date : 2001-02-21

Interaction Effects In Logistic Regression written by James Jaccard and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-02-21 with Social Science categories.

This book provides an introduction to the analysis of interaction effects in logistic regression by focusing on the interpretation of the coefficients of interactive logistic models for a wide range of situations encountered in the research literature. The volume is oriented toward the applied researcher with a rudimentary background in multiple regression and logistic regression and does not include complex formulas that could be intimidating to the applied researcher.

Interaction Effects In Multiple Regression

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Author : James Jaccard
language : en
Publisher: SAGE
Release Date : 2003-03-05

Interaction Effects In Multiple Regression written by James Jaccard and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-03-05 with Mathematics categories.

This is a practical introduction to conducting analyses of interaction effects in the context of multiple regression. This new edition expands coverage on the analysis of three-way interactions in multiple regression analysis.

Interpreting And Comparing Effects In Logistic Probit And Logit Regression

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Author : Jacques A. P. Hagenaars
language : en
Publisher: SAGE Publications
Release Date : 2024-01-16

Interpreting And Comparing Effects In Logistic Probit And Logit Regression written by Jacques A. P. Hagenaars and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-16 with Social Science categories.

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 shows how to compare coefficient estimates from regression models for categorical dependent variables in three typical research situations: (i) within one equation, (ii) between identical equations estimated in different subgroups, and (iii) between nested equations. Each of these three kinds of comparisons brings along its own particular form of comparison problems. Further, in all three areas, the precise nature of comparison problems in logistic regression depends on how the logistic regression model is looked at and how the effects of the independent variables are computed. This volume presents a practical, unified treatment of these problems, and considers the advantages and disadvantages of each approach, and when to use them, so that applied researchers can make the best choice related to their research problem. The techniques are illustrated with data from simulation experiments and from publicly available surveys. The datasets, along with Stata syntax, are available on a companion website.

Interpretable Machine Learning

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Author : Christoph Molnar
language : en
Publisher: Lulu.com
Release Date : 2020

Interpretable Machine Learning written by Christoph Molnar and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Computers categories.

This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.

Interaction Effects In Logistic Regression

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Author : James Jaccard
language : en
Publisher: SAGE Publications, Incorporated
Release Date : 2001-02-21

Interaction Effects In Logistic Regression written by James Jaccard and has been published by SAGE Publications, Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-02-21 with Social Science categories.

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 Linear And Generalized Linear Models

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Author : Robert L. Kaufman
language : en
Publisher: SAGE Publications
Release Date : 2018-09-06

Interaction Effects In Linear And Generalized Linear Models written by Robert L. Kaufman and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-06 with Social Science categories.

"This book is remarkable in its accessible treatment of interaction effects. Although this concept can be challenging for students (even those with some background in statistics), this book presents the material in a very accessible manner, with plenty of examples to help the reader understand how to interpret their results." –Nicole Kalaf-Hughes, Bowling Green State University Offering a clear set of workable examples with data and explanations, Interaction Effects in Linear and Generalized Linear Models is a comprehensive and accessible text that provides a unified approach to interpreting interaction effects. The book develops the statistical basis for the general principles of interpretive tools and applies them to a variety of examples, introduces the ICALC Toolkit for Stata, and offers a series of start-to-finish application examples to show students how to interpret interaction effects for a variety of different techniques of analysis, beginning with OLS regression. The author’s website provides a downloadable toolkit of Stata® routines to produce the calculations, tables, and graphics for each interpretive tool discussed. Also available are the Stata® dataset files to run the examples in the book.

Feature Engineering And Selection

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Author : Max Kuhn
language : en
Publisher: CRC Press
Release Date : 2019-07-25

Feature Engineering And Selection written by Max Kuhn and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-25 with Business & Economics categories.

The process of developing predictive models includes many stages. Most resources focus on the modeling algorithms but neglect other critical aspects of the modeling process. This book describes techniques for finding the best representations of predictors for modeling and for nding the best subset of predictors for improving model performance. A variety of example data sets are used to illustrate the techniques along with R programs for reproducing the results.

Logistic Regression Models For Ordinal Response Variables

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Author : Ann A. O'Connell
language : en
Publisher: SAGE
Release Date : 2006

Logistic Regression Models For Ordinal Response Variables written by Ann A. O'Connell and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Mathematics categories.

Ordinal measures provide a simple and convenient way to distinguish among possible outcomes. The book provides practical guidance on using ordinal outcome models.

Modeling And Interpreting Interactive Hypotheses In Regression Analysis

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Author : Robert Franzese
language : en
Publisher: University of Michigan Press
Release Date : 2009-09-23

Modeling And Interpreting Interactive Hypotheses In Regression Analysis written by Robert Franzese and has been published by University of Michigan Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-23 with Political Science categories.

Social scientists study complex phenomena about which they often propose intricate hypotheses tested with linear-interactive or multiplicative terms. While interaction terms are hardly new to social science research, researchers have yet to develop a common methodology for using and interpreting them. Modeling and Interpreting Interactive Hypotheses in Regression Analysis provides step-by-step guidance on how to connect substantive theories to statistical models and how to interpret and present the results. "Kam and Franzese is a must-have for all empirical social scientists interested in teasing out the complexities of their data." ---Janet M. Box-Steffensmeier, Ohio State University "Kam and Franzese have written what will become the definitive source on dealing with interaction terms and testing interactive hypotheses. It will serve as the standard reference for political scientists and will be one of those books that everyone will turn to when helping our students or doing our work. But more than that, this book is the best text I have seen for getting students to really think about the importance of careful specification and testing of their hypotheses." ---David A. M. Peterson, Texas A&M University "Kam and Franzese have given scholars and teachers of regression models something they've needed for years: a clear, concise guide to understanding multiplicative interactions. Motivated by real substantive examples and packed with valuable examples and graphs, their book belongs on the shelf of every working social scientist." ---Christopher Zorn, University of South Carolina "Kam and Franzese make it easy to model what good researchers have known for a long time: many important and interesting causal effects depend on the presence of other conditions. Their book shows how to explore interactive hypotheses in your own research and how to present your results. The book is straightforward yet technically sophisticated. There are no more excuses for misunderstanding, misrepresenting, or simply missing out on interaction effects!" ---Andrew Gould, University of Notre Dame Cindy D. Kam is Assistant Professor, Department of Political Science, University of California, Davis. Robert J. Franzese Jr. is Associate Professor, Department of Political Science, University of Michigan, and Research Associate Professor, Center for Political Studies, Institute for Social Research, University of Michigan. For datasets, syntax, and worksheets to help readers work through the examples covered in the book, visit: www.press.umich.edu/KamFranzese/Interactions.html