This volume covers classic as well as cutting-edge topics on the
analysis of clinical trial data in biomedical and psychosocial
research and discusses each topic in an expository and
user-friendly fashion. The intent of the book is to provide an
overview of the primary statistical and data analytic issues
associated with each of the selected topics, followed by a
discussion of approaches for tackling such issues and available
software packages for carrying out analyses. While classic topics
such as survival data analysis, analysis of diagnostic test data
and assessment of measurement reliability are well known and
covered in depth by available topic-specific texts, this volume
serves a different purpose: it provides a quick introduction to
each topic for self-learning, particularly for those who have not
done any formal coursework on a given topic but must learn it due
to its relevance to their multidisciplinary research. In addition,
the chapters on these classic topics will reflect issues
particularly relevant to modern clinical trials such as
longitudinal designs and new methods for analyzing data from such
study designs.
The coverage of these topics provides a quick introduction to
these important statistical issues and methods for addressing them.
As with the classic topics, this part of the volume on modern
topics will enable researchers to grasp the statistical methods for
addressing these emerging issues underlying modern clinical trials
and to apply them to their research studies.
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