Academic journal article Canadian Journal of Public Health

Regression with Social Data: Modeling Continuous and Limited Response Variables

Academic journal article Canadian Journal of Public Health

Regression with Social Data: Modeling Continuous and Limited Response Variables

Article excerpt

Regression with Social Data: Modeling Continuous and Limited Response Variables Alfred DeMaris. Hoboken, NJ: John Wiley & Sons, Inc., 2004; 534 pp, ISBN 0-471-22337-9; $129.99 CDN (Hardback)

Alfred DeMaris has written a comprehensive regression textbook that would be an excellent resource for data analysts, and a very readable textbook for graduate students in the health and social sciences.

The book is divided into two parts. The first part covers continuous response measurements, and includes chapters on modeling concepts, simple and multiple linear regression, multiple regression with categorical predictors and nonlinear responses. The final chapter in the first section of the book includes special topics, such as weighted least squares, omitted-variable bias, diagnostics for influential observations, and multicollinearity.

The second part of the book covers response variables that are limited in some way, starting with chapters on regression with binary responses, followed by more advanced topics in logistic regression, such as interaction, nonlinearity, and multinomial models. Chapter 9 begins with a discussion of truncated and censored regression models and ends with a section on sampleselected regression.

The final three chapters cover models for the occurrence of events, starting with regression models for event counts, Poisson regression, and models for data with overdispersion. …

Search by... Author
Show... All Results Primary Sources Peer-reviewed

Oops!

An unknown error has occurred. Please click the button below to reload the page. If the problem persists, please try again in a little while.