Routine applications of advanced statistical methods on real data
have become possible in the last ten years because desktop
computers have become much more powerful and cheaper. However,
proper understanding of the challenging statistical theory behind
those methods remains essential for correct application and
interpretation, and rarely seen in the medical literature. Modern
Methods for Epidemiology provides a concise introduction to recent
development in statistical methodologies for epidemiological and
biomedical researchers. Many of these methods have become
indispensible tools for researchers working in epidemiology and
medicine but are rarely discussed in details by standard textbooks
of biostatistics or epidemiology. Contributors of this book are
experienced researchers and experts in their respective fields.
This textbook provides a solid starting point for those who are new
to epidemiology, and for those looking for guidance in more modern
statistical approaches to observational epidemiology.
Epidemiological and biomedical researchers who wish to overcome the
mathematical barrier of applying those methods to their research
will find this book an accessible and helpful reference for
self-learning and research. This book is also a good source for
teaching postgraduate students in medical statistics or
epidemiology.
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