This new version of the bestselling Computer-Aided
Multivariate Analysis has been appropriately renamed to
better characterize the nature of the book. Taking into
account novel multivariate analyses as well as new
options for many standard methods, Practical
Multivariate Analysis, Fifth Edition shows readers how
to perform multivariate statistical analyses and
understand the results. For each of the techniques
presented in this edition, the authors use the most
recent software versions available and discuss the most
modern ways of performing the analysis.New to the Fifth
Edition Chapter on regression of correlated outcomes
resulting from clustered or longitudinal samples
Reorganization of the chapter on data analysis
preparation to reflect current software packages Use of
R statistical software Updated and reorganized
references and summary tables Additional end-of-chapter
problems and data sets The first part of the book
provides examples of studies requiring multivariate
analysis techniques; discusses characterizing data for
analysis, computer programs, data entry, data
management, data clean-up, missing values, and
transformations; and presents a rough guide to assist in
choosing the appropriate multivariate analysis. The
second part examines outliers and diagnostics in simple
linear regression and looks at how multiple linear
regression is employed in practice and as a foundation
for understanding a variety of concepts. The final part
deals with the core of multivariate analysis, covering
canonical correlation, discriminant, logistic
regression, survival, principal components, factor,
cluster, and log-linear analyses.While the text focuses
on the use of R, S-PLUS, SAS, SPSS, Stata, and
STATISTICA, other software packages can also be used
since the output of most standard statistical programs
is explained. Data sets and code are available for
download from the book's web page and CRC Press
Online. |
|