Statistical tools to analyze correlated binary data are spread out in
the existing literature. This book makes these tools accessible to
practitioners in a single volume. Chapters cover recently developed
statistical tools and statistical packages that are tailored to
analyzing correlated binary data. The authors showcase both traditional
and new methods for application to health-related research. Data and
computer programs will be publicly available in order for readers to
replicate model development, but learning a new statistical language is
not necessary with this book. The inclusion of code for R, SAS, and SPSS
allows for easy implementation by readers. For readers interested in
learning more about the languages, though, there are short tutorials in
the appendix. Accompanying data sets are available for download through
the book s website. Data analysis presented in each chapter will provide
step-by-step instructions so these new methods can be readily applied to
projects. Researchers and graduate students in Statistics, Epidemiology,
and Public Health will find this book particularly useful.