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Drug development is a strictly regulated area. As such, marketing
approval of a new drug depends heavily, if not exclusively, on
evidence generated from clinical trials. Drug development has seen
tremendous innovation in science and technology that has
revolutionized the treatment of some diseases. And yet, the
statistical design and practical conduct of the clinical trials
used to test new therapeutics for safety and efficacy have changed
very little over the decades. Our approach to clinical trials is
steeped in convention and tradition. The large, fixed, randomized
controlled trial methods that have been the gold standard are well
understood and expected by many trial stakeholders. However, this
approach is not well suited to all aspects of modern drug
development and the current competitive landscape. We now see new
therapies that target a small fraction of the patient population,
rare diseases with high unmet medical need, and paediatric
populations that must wait for years for new drug approvals from
the time that therapies are approved in adults. Large randomized
clinical trials are at best inefficient and at worst completely
infeasible in many modern clinical settings. Advances in technology
and data infrastructure call for innovations in clinical trial
design. Despite advances in statistical methods, the availability
of information, and computing power, the actual experience with
innovative design in clinical trials across industry and academia
is limited. This book will be an important showcase of the
potential for these innovative designs in modern drug development
and will be an important resource to guide those who wish to
undertake them for themselves. This book is ideal for professionals
in the pharmaceutical industry and regulatory agencies, but will
also be useful to academic researchers, faculty members, and
graduate students in, statistics, biostatistics, public health, and
epidemiology due to its focus on innovation. Key Features: Written
by pharmaceutical industry experts, academic researchers, and
regulatory reviewers, this is the first book providing a
comprehensive set of case studies related to statistical
methodology, implementation, regulatory considerations, and
communication of complex innovative trial design; Has a broad
appeal to a multitude of readers across academia, industry, and
regulatory agencies; Each contribution is a practical case study
that can speak to the benefits of an innovative approach but also
balance that with the real-life challenges encountered; A complete
understanding of what is actually being done in modern clinical
trials will broaden the reader’s capabilities and provide
examples to first mimic and then customize and expand upon when
exploring these ideas on their own.
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