Regression models for categorical dependent variables using Stata

The goal of Regression Models for Categorical Dependent Variables Using Stata, Third Edition is to make it easier to carry out the computations necessary to fully interpret regression models for categorical outcomes by using Stata's margins command. Because the models are nonlinear, they are mo...

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Detalles Bibliográficos
Otros Autores: Long, J. Scott, autor (autor), Freese, Jeremy, autor
Formato: Libro
Idioma:Inglés
Publicado: College Station, Texas : Stata Press Publication, StataCorp LP 2014
Edición:3rd ed
Materias:
Ver en Universidad de Navarra:https://innopac.unav.es/record=b35676759*spi
Descripción
Sumario:The goal of Regression Models for Categorical Dependent Variables Using Stata, Third Edition is to make it easier to carry out the computations necessary to fully interpret regression models for categorical outcomes by using Stata's margins command. Because the models are nonlinear, they are more complex to interpret. Most software packages that fit these models do not provide options that make it simple to compute the quantities useful for interpretation. In this book, the authors briefly describe the statistical issues involved in interpretation, and then they show how you can use Stata to perform these computations.
Descripción Física:xxiii, 589 p. : il. ; 24 cm
Bibliografía:Incluye referencias bibliográficas (p. 561-568) e índices
ISBN:9781597181112