David Melamed, Long Doan

Applications of Regression for Categorical Outcomes Using R (eBook, ePUB)

• Format: ePub

Produktbeschreibung

This book covers the main models within the GLM (i.e., logistic, Poisson, negative binomial, ordinal, and multinomial). It focuses on graphic displays of results as these are a core strength of using R for statistical analysis, and uses statistical models which are relevant to the social sciences.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 238
• Erscheinungstermin: 26. Juli 2023
• Englisch
• ISBN-13: 9781000907889
• Artikelnr.: 68208859

Autorenporträt

David Melamed is a Professor of Sociology and Translational Data Analytics at The Ohio State University. His research interests include the emergence of stratification, cooperation and segregation in dynamical systems, and statistics and methodology. Since 2019 he has been co-Editor of Sociological Methodology.

Long Doan is an Associate Professor of Sociology at the University of Maryland, College Park. His research examines how various social psychological processes like identity, intergroup competition, and bias help to explain the emergence and persistence of social stratification. He focuses on inequalities based on sexuality, gender, and race.

Inhaltsangabe

1. Introduction 2. Introduction to R Studio and Packages 3. Overview of OLS
Regression and Introduction to the General Linear Model 4. Describing
Categorical Variables and Some Useful Tests of Association 5. Regression
for Binary Outcomes 6. Regression for Binary Outcomes - Moderation and
Squared Terms 7. Regression for Ordinal Outcomes 8. Regression for Nominal
Outcomes 9. Regression for Count Outcomes 10. Additional Outcome Types 11.
Special Topics: Comparing Between Models and Missing Data