Statisticians and researchers will find "Categorical Data Analysis
Using SAS, Third Edition," by Maura Stokes, Charles Davis, and Gary
Koch, to be a useful discussion of categorical data analysis
techniques as well as an invaluable aid in applying these methods
with SAS. Practical examples from a broad range of applications
illustrate the use of the FREQ, LOGISTIC, GENMOD, NPAR1WAY, and
CATMOD procedures in a variety of analyses. Topics discussed
include assessing association in contingency tables and sets of
tables, logistic regression and conditional logistic regression,
weighted least squares modeling, repeated measurements analyses,
loglinear models, generalized estimating equations, and bioassay
analysis.
The third edition updates the use of SAS/STAT software to
SAS/STAT 12.1 and incorporates ODS Graphics. Many additional SAS
statements and options are employed, and graphs such as effect
plots, odds ratio plots, regression diagnostic plots, and agreement
plots are discussed. The material has also been revised and
reorganized to reflect the evolution of categorical data analysis
strategies. Additional techniques include such topics as exact
Poisson regression, partial proportional odds models, Newcombe
confidence intervals, incidence density ratios, and so on.
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