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040 _aOCoLC-P
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020 _a9781000226164
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020 _a1000226166
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020 _a9781000226133
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024 7 _a10.1201/9780367855420
_2doi
035 _a(OCoLC)1222803132
_z(OCoLC)1202443934
_z(OCoLC)1222806941
035 _a(OCoLC-P)1222803132
050 4 _aQH324.2
_b.H37 2020
072 7 _aMED
_x090000
_2bisacsh
072 7 _aCOM
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_2bisacsh
072 7 _aMAT
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072 7 _aPBT
_2bicssc
082 0 4 _a610.2855133
_223
100 1 _aHarrison, Ewen,
_eauthor.
245 1 0 _aR for health data science /
_cEwen Harrison, Riinu Pius.
264 1 _aBoca Raton :
_bChapman & Hall/CRC,
_c2020.
300 _a1 online resource :
_billustrations
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
520 _aIn 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.
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aBioinformatics.
650 0 _aMedical informatics.
650 0 _aR (Computer program language)
650 7 _aMEDICAL / Biostatistics
_2bisacsh
650 7 _aCOMPUTERS / Mathematical & Statistical Software
_2bisacsh
650 7 _aMATHEMATICS / Probability & Statistics / Regression Analysis
_2bisacsh
700 1 _aPius, Riinu,
_eauthor.
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9780367855420
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999 _c128208
_d128208