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Books > Medicine > General issues > Public health & preventive medicine > Epidemiology & medical statistics
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Bayesian Applications in Pharmaceutical Development (Paperback)
Loot Price: R1,601
Discovery Miles 16 010
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Bayesian Applications in Pharmaceutical Development (Paperback)
Series: Chapman & Hall/CRC Biostatistics Series
Expected to ship within 12 - 17 working days
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The cost for bringing new medicine from discovery to market has
nearly doubled in the last decade and has now reached $2.6 billion.
There is an urgent need to make drug development less
time-consuming and less costly. Innovative trial designs/ analyses
such as the Bayesian approach are essential to meet this need. This
book will be the first to provide comprehensive coverage of
Bayesian applications across the span of drug development, from
discovery, to clinical trial, to manufacturing with practical
examples. This book will have a wide appeal to statisticians,
scientists, and physicians working in drug development who are
motivated to accelerate and streamline the drug development
process, as well as students who aspire to work in this field. The
advantages of this book are: Provides motivating, worked, practical
case examples with easy to grasp models, technical details, and
computational codes to run the analyses Balances practical examples
with best practices on trial simulation and reporting, as well as
regulatory perspectives Chapters written by authors who are
individual contributors in their respective topics Dr. Mani
Lakshminarayanan is a researcher and statistical consultant with
more than 30 years of experience in the pharmaceutical industry. He
has published over 50 articles, technical reports, and book
chapters besides serving as a referee for several journals. He has
a PhD in Statistics from Southern Methodist University, Dallas,
Texas and is a Fellow of the American Statistical Association. Dr.
Fanni Natanegara has over 15 years of pharmaceutical experience and
is currently Principal Research Scientist and Group Leader for the
Early Phase Neuroscience Statistics team at Eli Lilly and Company.
She played a key role in the Advanced Analytics team to provide
Bayesian education and statistical consultation at Eli Lilly. Dr.
Natanegara is the chair of the cross industry-regulatory-academic
DIA BSWG to ensure that Bayesian methods are appropriately utilized
for design and analysis throughout the drug-development process.
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