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Applications of Regression for Categorical Outcomes Using R - Tapa dura

Melamed, David; Doan, Long

 
9780367894634: Applications of Regression for Categorical Outcomes Using R

Sinopsis

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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Acerca del autor

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.

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