Regression models for categorical dependent variables using Stata

Front Cover
StataCorp LP, 2006 - Computers - 527 pages
3 Reviews
Nearly 50% longer than the previous edition, this second edition covers new topics for fitting and interpreting models included in Stata 9. Many of the interpretation techniques have been updated to include interval as well as point estimates. The book begins with an excellent introduction to Stata and then provides a general treatment of estimation, testing, fit, and interpretation in this class of models. It covers binary, ordinal, nominal, and count outcomes in separate chapters. The final chapter discusses how to fit and interpret models with special characteristics, such as ordinal and nominal independent variables, interaction, and nonlinear terms.

From inside the book

What people are saying - Write a review

Review: Regression Models for Categorical Dependent Variables Using Stata

User Review  - Stephen Cranney - Goodreads

It simultaneously explains both the theoretical background behind the statistical procedures and the Stata syntax involved to execute the procedures; so it's perfect for people wanting to learn the methods for practical analytical purposes. Read full review

Review: Regression Models for Categorical Dependent Variables Using Stata

User Review  - Sultan Almalki - Goodreads

One of the best references I've read about analysing categorical dependent variables using STATA. Simple, comprehensive and nicely structured. Read full review

Related books

Contents

Introduction
3
Introduction to Stata
15
Estimation testing fit and interpretation
75
Copyright

15 other sections not shown

Common terms and phrases

About the author (2006)

Long is Professor of Sociology at Indiana University.