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In this age of information, the manipulation, analysis, and
interpretation of data have become a fundamental part of
professional life; nowhere more so than in the delivery of
healthcare. From the understanding of disease and the development
of new treatments, to the diagnosis and management of individual
patients, the use of data and technology is now an integral part of
the business of healthcare. Those working in healthcare interact
daily with data, often without realising it. The conversion of this
avalanche of information to useful knowledge is essential for
high-quality patient care. R for Health Data Science includes
everything a healthcare professional needs to go from R novice to R
guru. By the end of this book, you will be taking a sophisticated
approach to health data science with beautiful visualisations,
elegant tables, and nuanced analyses. Features Provides an
introduction to the fundamentals of R for healthcare professionals
Highlights the most popular statistical approaches to health data
science Written to be as accessible as possible with minimal
mathematics Emphasises the importance of truly understanding the
underlying data through the use of plots Includes numerous examples
that can be adapted for your own data Helps you create publishable
documents and collaborate across teams With this book, you are in
safe hands - Prof. Harrison is a clinician and Dr. Pius is a data
scientist, bringing 25 years' combined experience of using R at the
coal face. This content has been taught to hundreds of individuals
from a variety of backgrounds, from rank beginners to experts
moving to R from other platforms.
In this age of information, the manipulation, analysis, and
interpretation of data have become a fundamental part of
professional life; nowhere more so than in the delivery of
healthcare. From the understanding of disease and the development
of new treatments, to the diagnosis and management of individual
patients, the use of data and technology is now an integral part of
the business of healthcare. Those working in healthcare interact
daily with data, often without realising it. The conversion of this
avalanche of information to useful knowledge is essential for
high-quality patient care. R for Health Data Science includes
everything a healthcare professional needs to go from R novice to R
guru. By the end of this book, you will be taking a sophisticated
approach to health data science with beautiful visualisations,
elegant tables, and nuanced analyses. Features Provides an
introduction to the fundamentals of R for healthcare professionals
Highlights the most popular statistical approaches to health data
science Written to be as accessible as possible with minimal
mathematics Emphasises the importance of truly understanding the
underlying data through the use of plots Includes numerous examples
that can be adapted for your own data Helps you create publishable
documents and collaborate across teams With this book, you are in
safe hands - Prof. Harrison is a clinician and Dr. Pius is a data
scientist, bringing 25 years' combined experience of using R at the
coal face. This content has been taught to hundreds of individuals
from a variety of backgrounds, from rank beginners to experts
moving to R from other platforms.
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