Logistic Regression A Self-Learning Text

Name: Logistic Regression A Self-Learning Text
Price: 5.7 USD
Availability: InStock
ISBN: 9780387953977

ISBN-10: 0387953973

ISBN-13: 9780387953977

Edition: 2nd 2005 (Revised)

Authors: David G. Kleinbaum, Mitchell Klein, E. Rihl Pryor

List price: $109.00

30 day, 100% satisfaction guarantee!

Marketplace

4 new & used from $5.70

what's this?

Rush Rewards U
Members Receive:

You have reached 400 XP and carrot coins. That is the daily max!

Description:

This is the second edition of this text on logistic regression methods. As in the first edition, each chapter contains a presentation of its topic in "lecture-book" format together with objectives, an outline, key formulae, practice exercises, and a test. The "lecture-book" has a sequence of illustrations and formulae in the left column of each page and a script (i.e., text) in the right column. This format allows you to read the script in conjunction with the illustrations and formulae that highlight the main points, formulae, or examples being presented.This second edition includes five new chapters and an appendix. The new chapters are: Chapter 9. Polytomous Logistic Regression Chapter…

Book details

List price: $109.00
Edition: 2nd
Copyright year: 2005
Publisher: Springer
Publication date: 10/25/2005
Binding: Hardcover
Pages: 513
Size: 8.50" wide x 9.50" long x 1.25" tall
Weight: 2.486
Language: English



Preface


Acknowledgments


Introduction to Logistic Regression


Introduction


Abbreviated Outline


Objectives


Presentation


Detailed Outline


Key Formulae


Practice Exercises


Test


Answers to Practice Exercises


Important Special Cases of the Logistic Model


Introduction


Abbreviated Outline


Objectives


Presentation


Detailed Outline


Practice Exercises


Test


Answers to Practice Exercises


Computing the Odds Ratio in Logistic Regression


Introduction


Abbreviated Outline


Objectives


Presentation


Detailed Outline


Practice Exercises


Test


Answers to Practice Exercises


Maximum Likelihood Techniques: An Overview


Introduction


Abbreviated Outline


Objectives


Presentation


Detailed Outline


Practice Exercises


Test


Answers to Practice Exercises


Statistical Inferences Using Maximum Likelihood Techniques


Introduction


Abbreviated Outline


Objectives


Presentation


Detailed Outline


Practice Exercises


Test


Answers to Practice Exercises


Modeling Strategy Guidelines


Introduction


Abbreviated Outline


Objectives


Presentation


Detailed Outline


Practice Exercises


Test


Answers to Practice Exercises


Modeling Strategy for Assessing Interaction and Confounding


Introduction


Abbreviated Outline


Objectives


Presentation


Detailed Outline


Practice Exercises


Test


Answers to Practice Exercises


Analysis of Matched Data Using Logistic Regression


Introduction


Abbreviated Outline


Objectives


Presentation


Detailed Outline


Practice Exercises


Test


Answers to Practice Exercises


Polytomous Logistic Regression


Introduction


Abbreviated Outline


Objectives


Presentation


Detailed Outline


Practice Exercises


Test


Answers to Practice Exercises


Ordinal Logistic Regression


Introduction


Abbreviated Outline


Objectives


Presentation


Detailed Outline


Practice Exercises


Test


Answers to Practice Exercises


Logistic Regression for Correlated Data: GEE


Introduction


Abbreviated Outline


Objectives


Presentation


Detailed Outline


Practice Exercises


Test


Answers to Practice Exercises


GEE Examples


Introduction


Abbreviated Outline


Objectives


Presentation


Detailed Outline


Practice Exercises


Test


Answers to Practice Exercises


Other Approaches for Analysis of Correlated Data


Introduction


Abbreviated Outline


Objectives


Presentation


Detailed Outline


Practice Exercises


Test


Answers to Practice Exercises


Computer Programs for Logistic Regression


Datasets


SAS


SPSS


Stata


Test Answers


Bibliography


Index