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Books > Medicine > Other branches of medicine > Pharmacology
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Statistical Methods in Drug Combination Studies (Hardcover)
Loot Price: R4,489
Discovery Miles 44 890
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Statistical Methods in Drug Combination Studies (Hardcover)
Series: Chapman & Hall/CRC Biostatistics Series
Expected to ship within 10 - 15 working days
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The growing interest in using combination drugs to treat various
complex diseases has spawned the development of many novel
statistical methodologies. The theoretical development, coupled
with advances in statistical computing, makes it possible to apply
these emerging statistical methods in in vitro and in vivo drug
combination assessments. However, despite these advances, no book
has served as a single source of information for statistical
methods in drug combination research, nor has there been any
guidance for experimental strategies. Statistical Methods in Drug
Combination Studies fills that gap, covering all aspects of drug
combination research, from designing in vitro drug combination
studies to analyzing clinical trial data. Featuring contributions
from researchers in industry, academia, and regulatory agencies,
this comprehensive reference: Describes statistical models used to
characterize dose-response patterns of monotherapies and evaluate
the combination drug synergy Offers guidance for estimating
interaction indices and constructing their associated confidence
intervals to assess drug interaction Introduces a practical and
innovative Bayesian approach to Phase I cancer trials, including
actual trial examples to illustrate use Examines strategies in the
fixed-dose combination therapy clinical development via case
studies stemming from regulatory reviews Evaluates computational
tools and software packages used to apply novel statistical methods
in combination drug development Statistical Methods in Drug
Combination Studies provides researchers with a solid understanding
of the available statistical methods and computational tools and
how to apply them in drug combination studies. The book is equally
useful for statisticians to become better equipped to deal with
drug combination study design and analysis in their practice.
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