Harrison, Ewen <br/><br/>
R for health data science 

 - Boco Raton  CRC Press   2021 
 - xix, 343 
<br/><br/>Table of Contents<br/>I Data wrangling and visualisation<br/>1. Why we love R<br/>2 R basics<br/>3 Summarising data<br/>4 Different types of plots<br/>5 Fine tuning plots<br/><br/>II Data analysis<br/>6 Working with continuous outcome variables<br/>7 Linear regression<br/>8 Working with categorical outcome variables<br/>9 Logistic regression<br/>10 Time-to-event data and survival<br/><br/>III Workflow<br/>11 The problem of missing data<br/>12 Notebooks and Markdown<br/>13 Exporting and reporting<br/>14 Version control<br/>15 Encryption 
<br/><br/> 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.<br/><br/>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. 
<br/><br/><label>ISBN: </label>9780367428198 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Medical informatics<br/>R (Computer program language)<br/>Bioinformatics
<br/><br/><label>Dewey Class. No.: </label>610.2855133  / HAR