http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
modeling continuous and limited response variables
1 online resource (xvii, 534 pages) : illustrations
This volume introduces single-equation regression models that bring a variety of similar techniques under one umbrella--the generalized linear model. Topics covered include simple and multiple linear regression, probit and logistic regression, truncated, censored, and sample-selected regression, regression models for an event count, and regression with survival data.
Regression with Social Data; Contents; Preface; 1. Introduction to Regression Modeling; 2. Simple Linear Regression; 3. Introduction to Multiple Regression; 4. Multiple Regression with Categorical Predictors: ANOVA and ANCOVA Models; 5. Modeling Nonlinearity; 6. Advanced Issues in Multiple Regression; 7. Regression with a Binary Response; 8. Advanced Topics in Logistic Regression; 9. Truncated and Censored Regression Models; 10. Regression Models for an Event Count; 11. Introduction to Survival Analysis; 12. Multistate, Multiepisode, and Interval-Censored Models in Survival Analysis.
Includes bibliographical references (pages 512-520) and index.