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Logistic Regression: A Self-Learning Text by Kleinbaum, David G|Klein, Mitchel

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Item specifics

Condition
Good
A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages. See all condition definitionsopens in a new window or tab
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“Satisfaction Guaranteed! 100% Money Back Guarantee.Book is in typical used-Good Condition. Will ...
ISBN
9780387953977
Subject Area
Mathematics, Social Science, Medical
Publication Name
Logistic Regression : a Self-Learning Text
Publisher
Springer
Item Length
9.3 in
Subject
Biostatistics, Probability & Statistics / Regression Analysis, Research, Statistics, Epidemiology
Publication Year
2005
Series
Statistics for Biology and Health Ser.
Type
Textbook
Format
Hardcover
Language
English
Author
David G. Kleinbaum, Mitchell Klein
Features
Revised
Item Weight
42 Oz
Item Width
8.1 in
Number of Pages
Xiv, 513 Pages

About this product

Product Identifiers

Publisher
Springer
ISBN-10
0387953973
ISBN-13
9780387953977
eBay Product ID (ePID)
2210316

Product Key Features

Number of Pages
Xiv, 513 Pages
Publication Name
Logistic Regression : a Self-Learning Text
Language
English
Subject
Biostatistics, Probability & Statistics / Regression Analysis, Research, Statistics, Epidemiology
Publication Year
2005
Features
Revised
Type
Textbook
Subject Area
Mathematics, Social Science, Medical
Author
David G. Kleinbaum, Mitchell Klein
Series
Statistics for Biology and Health Ser.
Format
Hardcover

Dimensions

Item Weight
42 Oz
Item Length
9.3 in
Item Width
8.1 in

Additional Product Features

Edition Number
2
Intended Audience
College Audience
LCCN
2002-019728
Dewey Edition
21
Illustrated
Yes
Dewey Decimal
610/.7/27
Table Of Content
Introduction to Logistic Regression * Important Special Cases of the Logistical Model * Computing the Odds Ration in Logistic Regression * Maximum Likelihood Techniques: An Overview * Statistical Inference Using Maximum Likelihood Techniques * Modeling Strategy Guidelines * Modeling Strategy for Assessing Interaction and Confounding * Analysis of Matched Data Using Logistic Regression * Polytomous Logistic Regression * Ordinal Logistic Regression * Logistic Regression for Correlated Data * GEE Examples * Other Approaches for Analysis of Correlated Data
Edition Description
Revised edition
Synopsis
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 in the right column. This format allows the script to be read in conjunction with the illustrations and formulae that highlight the main points, formulae, or examples being presented., This very successful book has become a standard introduction to logistic regression for professionals in the health and social sciences. The author has conducted short courses throughout the world on this subject and is noted for his expository skills.
LC Classification Number
R853.S7K54 2002

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