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

Logistic Regression Using SAS

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
Logistic Regression Using the SAS System
Language: en
Pages: 308

Logistic Regression Using the SAS System

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
SAS System for Regression
Language: en
Pages: 258

SAS System for Regression

Authors: Rudolf Freund
Categories: Mathematics
Type: BOOK - Published: 2000-12-29 - Publisher: John Wiley & Sons

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SAS® System for Regression Learn to perform a wide variety of regression analyses using SAS® software with this example-driven revised favorite from SAS Publi
Applied Logistic Regression Analysis
Language: en
Pages: 130

Applied Logistic Regression Analysis

Authors: Scott Menard
Categories: Mathematics
Type: BOOK - Published: 2002 - Publisher: SAGE

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The focus in this Second Edition is again on logistic regression models for individual level data, but aggregate or grouped data are also considered. The book i
Exploring Modern Regression Methods Using SAS
Language: en
Pages: 142

Exploring Modern Regression Methods Using SAS

Authors:
Categories:
Type: BOOK - Published: 2019-06-21 - Publisher:

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This special collection of SAS Global Forum papers demonstrates new and enhanced capabilities and applications of lesser-known SAS/STAT and SAS Viya procedures