R For Health Data Science

Download R For Health Data Science full books in PDF, epub, and Kindle. Read online free R For Health Data Science ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

R for Health Data Science

R for Health Data Science
Author :
Publisher : CRC Press
Total Pages : 358
Release :
ISBN-10 : 9781000226164
ISBN-13 : 1000226166
Rating : 4/5 (166 Downloads)

Book Synopsis R for Health Data Science by : Ewen Harrison

Download or read book R for Health Data Science written by Ewen Harrison and published by CRC Press. This book was released on 2020-12-31 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


R for Health Data Science Related Books

R for Health Data Science
Language: en
Pages: 358
Authors: Ewen Harrison
Categories: Medical
Type: BOOK - Published: 2020-12-31 - Publisher: CRC Press

DOWNLOAD EBOOK

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
Statistics for Health Data Science
Language: en
Pages: 238
Authors: Ruth Etzioni
Categories: Medical
Type: BOOK - Published: 2021-01-04 - Publisher: Springer Nature

DOWNLOAD EBOOK

Students and researchers in the health sciences are faced with greater opportunity and challenge than ever before. The opportunity stems from the explosion in p
Data Science with R for Psychologists and Healthcare Professionals
Language: en
Pages: 312
Authors: Christian Ryan
Categories: Business & Economics
Type: BOOK - Published: 2021-12-23 - Publisher: CRC Press

DOWNLOAD EBOOK

This introduction to R for students of psychology and health sciences aims to fast-track the reader through some of the most difficult aspects of learning to do
Data Science and Predictive Analytics
Language: en
Pages: 940
Authors: Ivo D. Dinov
Categories: Computers
Type: BOOK - Published: 2023-02-16 - Publisher: Springer Nature

DOWNLOAD EBOOK

This textbook integrates important mathematical foundations, efficient computational algorithms, applied statistical inference techniques, and cutting-edge mach
R for Data Science
Language: en
Pages: 577
Authors: Dan Toomey
Categories: Computers
Type: BOOK - Published: 2014-12-24 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

If you are a data analyst who has a firm grip on some advanced data analysis techniques and wants to learn how to leverage the features of R, this is the book f