Regression models for categorical dependent variables using Stata

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:
Stata (Archivo de ordenador)
Análisis de regresión
Ciencias sociales > Métodos estadísticos > Proceso de datos
Ver en Universidad de Navarra:https://unika.unav.edu/discovery/fulldisplay?docid=alma991008974839708016&context=L&vid=34UNAV_INST:VU1&search_scope=34UNAV_TODO&tab=34UNAV_TODO&lang=es
Tabla de Contenidos:
  • List of figures
  • Preface
  • I. General information. Introduction
  • Introduction to Stata
  • Estimation, testing, and fit
  • Methods of interpretation
  • II. Models for specific kinds of outcomes. Models for binary outcomes : estimation, testing, and fit
  • Models for binary outcomes : interpretation
  • Models for ordinal outcomes
  • Models for nominal outcomes
  • Models for count outcomes.

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