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Logistic Regression Using SAS - Theory and Application, Second Edition (Paperback, 2nd ed.) Loot Price: R1,788
Discovery Miles 17 880
Logistic Regression Using SAS - Theory and Application, Second Edition (Paperback, 2nd ed.): D. Allison Paul

Logistic Regression Using SAS - Theory and Application, Second Edition (Paperback, 2nd ed.)

D. Allison Paul

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Loot Price R1,788 Discovery Miles 17 880 | Repayment Terms: R168 pm x 12*

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If you are a researcher or student with experience in multiple linear regression and want to learn about logistic regression, Paul Allison's "Logistic Regression Using SAS: Theory and Application, Second Edition," is for you 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. Several real-world examples are included in full detail. This book also explains the differences and similarities among the many generalizations of the logistic regression model. The following topics are covered: binary logistic regression, logit analysis of contingency tables, multinomial logit analysis, ordered logit analysis, discrete-choice analysis, and Poisson regression. Other highlights include discussions on how to use the GENMOD procedure to do loglinear analysis and GEE estimation for longitudinal binary data. Only basic knowledge of the SAS DATA step is assumed. The second edition describes many new features of PROC LOGISTIC, including conditional logistic regression, exact logistic regression, generalized logit models, ROC curves, the ODDSRATIO statement (for analyzing interactions), and the EFFECTPLOT statement (for graphing non-linear effects). Also new is coverage of PROC SURVEYLOGISTIC (for complex samples), PROC GLIMMIX (for generalized linear mixed models), PROC QLIM (for selection models and heterogeneous logit models), and PROC MDC (for advanced discrete choice models).

General

Imprint: SAS Publishing
Country of origin: United States
Release date: March 2012
First published: March 2012
Authors: D. Allison Paul
Dimensions: 277 x 210 x 18mm (L x W x T)
Format: Paperback - Trade
Pages: 339
Edition: 2nd ed.
ISBN-13: 978-1-59994-641-2
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
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LSN: 1-59994-641-6
Barcode: 9781599946412

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