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Fb2 Logistic Regression: A Self-Learning Text ePub

by Mitchel Klein,David G. Kleinbaum

Category: Biological Sciences
Subcategory: Science books
Author: Mitchel Klein,David G. Kleinbaum
ISBN: 0387953973
ISBN13: 978-0718513337
Language: English
Publisher: Springer; 2nd edition (August 12, 2002)
Pages: 513
Fb2 eBook: 1591 kb
ePub eBook: 1716 kb
Digital formats: rtf azw mobi doc

David G. Kleinbaum, Mitchel Klein.

David G. The "lecture-book" has a sequence of illustrations and formulae in the left column of each page and a script (. text) in the right column.

A Self-Learning Text. Authors: Kleinbaum, David . Klein, Mitchel. Provides a highly readable description of fundamental and advanced concepts and methods of logistic regression.

We may have all come on different ships, but we're in the same boat now. ― . 33 MB·30,593 Downloads. David G. Kleinbaum is Associate Professor of Biostatistics and Epidemiology at the University of North Carolina School of Public Health and holds a P. from the University of North Carolina. Lawrence L. Kupper is Professor of Biostatistics and Epidemiology at the University of North Carolina School of Public Health and holds a P.

Logistic regression: a self-learning text, David G. 2nd ed. p. ; c. (Statistics for biology and health). Includes bibliographical references and index.

by David G. Kleinbaum and Mitchel Klein ISBN: 978-1-4419-1741-6 Springer Publishers New York, Inc. August 2010.

Collection of human data and use of databases to answer medical questions via machine learning. Projects include ME/CFS, infectious disease, liver function, as well as issues with quality and effic iency in pathology - laboratory medicine broadly. Kleinbaum Mitchel Klein. A Self-Learning Text.

Full recovery of all data can take up to 2 weeks! So we came to the decision at this time to double the download limits for all users until the problem is completely resolved. Thanks for your understanding! Progress: 9. 4% restored. Главная Logistic Regression: A Self-learning Text. Logistic Regression: A Self-learning Text.

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 10. Ordinal Logistic Regression Chapter 11. Logistic Regression for Correlated Data Chapter 12. GEE Examples Chapter 13. Other Approaches for Analysis of Correlated Data Chapters 9 and 10 extend logistic regression to response variables that have more than two categories. Chapters 11-13 extend logistic regression to generalized estimating equations (GEE) and other methods for analyzing correlated response data. The appendix "Computer Programs for Logistic Regression" provides descriptions and examples of computer programs for carrying out the variety of logistic regression procedures described in the main text. The software packages considered are SAS Version 8.0, SPSS Version 10.0 and STATA Version 7.0.
Comments to eBook Logistic Regression: A Self-Learning Text
Mozel
It is a long wordy introduction to logistic regression. The good point about this book is that it has a lot of exercises (most of them simiple) that strength your understanding. It also has answers. However, the material can be condensed into 1/4 of its 700 pages easily. Other books like Agresti's books on categorical analysis are far more condensed and more difficult to digest. I think this is a good book for beginners to learn logistic regression or regression in general.
Anarius
good
Ghile
Very Good as described and packaged very well.
VizoRRR
Written in a very clear way showing all the logical steps and many examples, including code at the back fro common stats packages. It starts each topic in a very way (too basic for me), but builds you up to a high technical level. The book provides many practise examples with answers and so is thus good for self-learning.
Light out of Fildon
New book
Xirmiu
This book contains a detailed text along with a "presentation" next to the text, much like a Powerpoint presentation, which allows you to skim the material efficiently. I highly recommend this book for logistic modeling classes.
Khiceog
Very good book, easy to learn from! I would highly suggest this reading for anyone taking a logistic regression class.
Very annoying format / layout of the text with regards to supporting figures, equations, illustrations, etc. - everything placed in the margins in a difficult to read font. Most annoying is the author's habit of spelling out equations i.e. 1/(1+2) would be described as "one over the quantity of one plus two" - can't get past this and have given up on the text.
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