Logistic Regression Using SAS

Logistic Regression Using SAS
Author: Paul D. Allison
Publisher: SAS Institute
Total Pages: 348
Release: 2012-03-30
Genre: Computers
ISBN: 1629590185


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Informal and nontechnical, this book both explains the theory behind logistic regression, and looks at all the practical details involved in its implementation using SAS. Includes several real-world examples in full detail.


Logistic Regression Using SAS
Language: en
Pages: 348
Authors: Paul D. Allison
Categories: Computers
Type: BOOK - Published: 2012-03-30 - Publisher: SAS Institute

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Informal and nontechnical, this book both explains the theory behind logistic regression, and looks at all the practical details involved in its implementation
Applied Logistic Regression, Second Edition: Book and Solutions Manual Set
Language: en
Pages: 0
Authors: David W. Hosmer, Jr.
Categories: Mathematics
Type: BOOK - Published: 2001-11-13 - Publisher: Wiley-Interscience

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From the reviews of the First Edition. "An interesting, useful, and well-written book on logistic regression models. . . Hosmer and Lemeshow have used very litt
Modeling Binary Correlated Responses using SAS, SPSS and R
Language: en
Pages: 264
Authors: Jeffrey R. Wilson
Categories: Mathematics
Type: BOOK - Published: 2015-10-12 - Publisher: Springer

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Statistical tools to analyze correlated binary data are spread out in the existing literature. This book makes these tools accessible to practitioners in a sing
Biostatistics and Computer-based Analysis of Health Data Using SAS
Language: en
Pages: 174
Authors: Christophe Lalanne
Categories: Computers
Type: BOOK - Published: 2017-06-22 - Publisher: Elsevier

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This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research. The use of SAS for data management and statistical
Logistic Regression Using the SAS System
Language: en
Pages: 308
Authors: Paul D. Allison
Categories: Mathematics
Type: BOOK - Published: 2001-12-21 - Publisher: Wiley-SAS

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Written in an informal and non-technical style, this book first explains the theory behind logistic regression and then shows how to implement it using the SAS