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"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."--Back cover.

Programming --- Quantitative methods in social research --- Mathematical statistics --- Regression Analysis --- Social sciences --- Statistical methods --- Data processing --- Stata --- Regression analysis. --- Data processing. --- #SBIB:303H4 --- 519.246 --- 301.085 --- 311 --- 681.333 --- 681.33 --- Regression analysis --- -519.536 --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- 519.246 Statistics of stochastic processes. Estimation of stochastic processes. Hypothesis testing. Statistics of point processes. Time series analysis. Auto-correlation. Regression --- Statistics of stochastic processes. Estimation of stochastic processes. Hypothesis testing. Statistics of point processes. Time series analysis. Auto-correlation. Regression --- Informatica in de sociale wetenschappen --- Kwantitatieve sociologische onderzoeksmethoden --- Statistiekwetenschap --- Softwarepakket --- Programmering --- -Data processing --- Stata. --- 519.536 --- Statistical methods&delete& --- Social sciences - Statistical methods - Data processing