An updated treatment of categorical data analysis in the biomedical
sciences that now explores applications to translational research
Thoroughly updated with the latest advances in the field,
"Applied Categorical Data Analysis and Translational Research,
Second Edition" maintains the accessible style of its predecessor
while also exploring the importance of translational research as it
relates to basic scientific findings within clinical practice. With
its easy-to-follow style, updated coverage of major methodologies,
and broadened scope of coverage, this new edition provides an
accessible guide to statistical methods involving categorical data
and the steps to their application in problem solving in the
biomedical sciences.
Delving even further into the applied direction, this update
offers many real-world examples from biomedicine, epidemiology, and
public health along with detailed case studies taken straight from
modern research in these fields. Additional features of the Second
Edition include:
A new chapter on the relationship between translational research
and categorical data, focusing on design study, bioassay, and Phase
I and Phase II clinical trials
A new chapter on categorical data and diagnostic medicine, with
coverage of the diagnostic process, prevalence surveys, the ROC
function and ROC curve, and important statistical
considerations
A revised chapter on logistic regression models featuring an
updated treatment of simple and multiple regression analysis
An added section on quantal bioassays
Each chapter features updated and new exercise sets along with
numerous graphs that demonstrate the highly visual nature of the
topic. A related Web site features the book's examples as well as
additional data sets that can be worked with using SAS(R)
software.
The only book of its kind to provide balanced coverage of
methods for both categorical data and translational research,
"Applied Categorical Data Analysis and Translational Research,
Second Edition" is an excellent book for courses on applied
statistics and biostatistics at the upper-undergraduate and
graduate levels. It is also a valuable reference for researchers
and practitioners in the biomedical and public health fields.
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