Applied Regression Analysis and Multivariable Methods

by David G. Kleinbaum, Lawrence L. Kupper, Azhar Nizam, et al.

Book Overview

This bestseller will help you learn regression-analysis methods that you can apply to real-life problems. It highlights the role of the computer in contemporary statistics with numerous printouts and... This description may be from another edition of this product.

• Format: Hardcover
• Language: English
• ISBN: 0534209106
• ISBN13: 9780534209100
• Release Date: September 1997
• Publisher: Duxbury Resource Center
• Length: 798 Pages
• Weight: 3.18 lbs.
• Dimensions: 1.5" x 7.7" x 9.6"

Customer Reviews

Super Book

I have used this book from first edition in the early 1980's in grad school to lastest edition in 2003. A very good book, designed to be used with statistical software. The authors understand the field and provide a thorough yet concise perspective of mainly regression and ANOVA models. An absolute must book for the applied statistician.

Excellent Introduction to Linear Regression

I used this book for a second level statistics course for my Master's degree in Epidemiology. I liked it!All the underlying math you want to know is sitting on the pages, clearly explained though examples with computer output and graphs. I worked through the problems in the text without difficulty and reproduced their work. I understood what I was doing. Each chapter is followed by a series of problems. You probably want to get a solutions manual if you want to check your answers. The material covered includes: Univariable and multivariable linear regression, correlations including multiple partial, ANOVA, ANCOVA, Polynomial Regression including orthogonal polynomials, dummy variables, selecting best regression equation, and introductions to repeated measures ANOVA, maximum likelihood methods, and logistic regression.Now that I feel that I have these basics under control, I would like a book on "approaches" to data and dealing with "difficult" data. This book contains one chapter on regression diagnostics -- not enough. But I guess that is the next step....Other readers have commented on other books addressing the same topic, unfortunately I have not read those other books. However, I am certain that you will learn from this book, and when you are done, you will be ready for more.(Did I mention that I signed up for a course with Dr. Kleinbaum on analysis of matched data?)

Top of the line for multivariate issues understanding

The most complete and cristal clear exposition of multivariate analisys I ever read.