000			01686nam a2200253 4500
005			20250630163025.0
008			250627b |||||||| |||| 00| 0 eng d
020			_a9781032940274
040			_aCSL _cCSL
041			_2eng _aeng
084			_aB28,92R R1 _qCSL
100			_aHarrison, Ewen _9814784 _eauthor.
245			_aR for Health Data Science
260			_aBoca Raton : _bCRC Press, _c2021
300			_axviii, 344p. _b: ill. _c; 24 cm.
500			_aIncludes Bibliography and Index
520			_a 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. In The Box
650			_aLogistic regression _9732914
650			_aLinear regression _9451157
650			_aData anylysis _9814785
650			_aR Basics _9814786
700			_aPiu, Riinu _eco-author. _9814787
942			_2CC _n0 _cTEXL _hB28,92R R1
999			_c1433049 _d1433049