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Logistic Regression Using SAS - Theory and Application, Second Edition (Paperback, 2nd ed.)
Loot Price: R1,775
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Logistic Regression Using SAS - Theory and Application, Second Edition (Paperback, 2nd ed.)
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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).
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