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Books > Medicine > Other branches of medicine > Medical imaging
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Multivariate Analysis for Neuroimaging Data (Hardcover)
Loot Price: R4,929
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Multivariate Analysis for Neuroimaging Data (Hardcover)
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This book describes methods for statistical brain imaging data
analysis from both the perspective of methodology and from the
standpoint of application for software implementation in
neuroscience research. These include those both commonly used
(traditional established) and state of the art methods. The former
is easier to do due to the availability of appropriate software. To
understand the methods it is necessary to have some mathematical
knowledge which is explained in the book with the help of figures
and descriptions of the theory behind the software. In addition,
the book includes numerical examples to guide readers on the
working of existing popular software. The use of mathematics is
reduced and simplified for non-experts using established methods,
which also helps in avoiding mistakes in application and
interpretation. Finally, the book enables the reader to understand
and conceptualize the overall flow of brain imaging data analysis,
particularly for statisticians and data-scientists unfamiliar with
this area. The state of the art method described in the book has a
multivariate approach developed by the authors' team. Since brain
imaging data, generally, has a highly correlated and complex
structure with large amounts of data, categorized into big data,
the multivariate approach can be used as dimension reduction by
following the application of statistical methods. The R package for
most of the methods described is provided in the book.
Understanding the background theory is helpful in implementing the
software for original and creative applications and for an unbiased
interpretation of the output. The book also explains new methods in
a conceptual manner. These methodologies and packages are commonly
applied in life science data analysis. Advanced methods to obtain
novel insights are introduced, thereby encouraging the development
of new methods and applications for research into medicine as a
neuroscience.
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