Regression with Social Data

Modeling Continuous and Limited Response Variables

Alfred Demaris - Collection Wiley-Interscience

534 pages, parution le 16/11/2004

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Résumé

An accessible introduction to the use of regression analysis in the social sciences

Regression with Social Data: Modeling Continuous and Limited Response Variables represents the most complete and fully integrated coverage of regression modeling currently available for graduate-level behavioral science students and practitioners. Covering techniques that span the full spectrum of levels of measurement for both continuous and limited response variables, and using examples taken from such disciplines as sociology, psychology, political science, and public health, the author succeeds in demystifying an academically rigorous subject and making it accessible to a wider audience.

Content includes coverage of:

Logit, probit, scobit, truncated, and censored regressions
Multiple regression with ANOVA and ANCOVA models
Binary and multinomial response models
Poisson, negative binomial, and other regression models for event-count data
Survival analysis using multistate, multiepisode, and interval-censored survival models

Concepts are reinforced throughout with numerous chapter problems, exercises, and real data sets. Step-by-step solutions plus an appendix of mathematical tutorials make even complex problems accessible to readers with only moderate math skills. The book's logical flow, wide applicability, and uniquely comprehensive coverage make it both an ideal text for a variety of graduate course settings and a useful reference for practicing researchers in the field.

L'auteur - Alfred Demaris

ALFRED DeMARIS, PhD, is Professor of Sociology at Bowling Green State University, Ohio. In addition to consulting on a regular basis, Dr. DeMaris has published well over fifty research papers and is a member of several local university and community boards.

Sommaire

Preface
Introduction to Regression Modeling
Simple Linear Regression
Introduction to Multiple Regression
Multiple Regression with Categorical Predictors: ANOVA and ANCOVA Models
Modeling Nonlinearity
Advanced Issues in Multiple Regression
Regression with a Binary Response
Advanced Topics in Logistic Regression
Truncated and Censored Regression Models
Regression Models for an Event Count
Introduction to Survival Analysis
Multistate, Multiepisode, and Interval-Censored Models in Survival Analysis
Appendix A : Mathematics Tutorials
Appendix B : Answers to Selected Exercises
References
Index

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Wiley
Auteur(s)	Alfred Demaris
Collection	Wiley-Interscience
Parution	16/11/2004
Nb. de pages	534
Format	16 x 24
Couverture	Relié
Poids	896g
Intérieur	Noir et Blanc
EAN13	9780471223375