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Books > Medicine > General issues > Public health & preventive medicine > Epidemiology & medical statistics
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Statistical Methods for Dynamic Treatment Regimes - Reinforcement Learning, Causal Inference, and Personalized Medicine (Hardcover, 2013 ed.)
Loot Price: R3,288
Discovery Miles 32 880
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Statistical Methods for Dynamic Treatment Regimes - Reinforcement Learning, Causal Inference, and Personalized Medicine (Hardcover, 2013 ed.)
Series: Statistics for Biology and Health, 76
Expected to ship within 12 - 17 working days
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Statistical Methods for Dynamic Treatment Regimes shares state of
the art of statistical methods developed to address questions of
estimation and inference for dynamic treatment regimes, a branch of
personalized medicine. This volume demonstrates these methods with
their conceptual underpinnings and illustration through analysis of
real and simulated data. These methods are immediately applicable
to the practice of personalized medicine, which is a medical
paradigm that emphasizes the systematic use of individual patient
information to optimize patient health care. This is the first
single source to provide an overview of methodology and results
gathered from journals, proceedings, and technical reports with the
goal of orienting researchers to the field. The first chapter
establishes context for the statistical reader in the landscape of
personalized medicine. Readers need only have familiarity with
elementary calculus, linear algebra, and basic large-sample theory
to use this text. Throughout the text, authors direct readers to
available code or packages in different statistical languages to
facilitate implementation. In cases where code does not already
exist, the authors provide analytic approaches in sufficient detail
that any researcher with knowledge of statistical programming could
implement the methods from scratch. This will be an important
volume for a wide range of researchers, including statisticians,
epidemiologists, medical researchers, and machine learning
researchers interested in medical applications. Advanced graduate
students in statistics and biostatistics will also find material in
Statistical Methods for Dynamic Treatment Regimes to be a critical
part of their studies.
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