R for health data science

By:

Harrison, Ewen

Contributor(s):

Pius, Riinu

Material type: Text

TextPublication details: CRC Press Boco Raton 2021Description: xix, 343ISBN:

9780367428198

Subject(s):

DDC classification:

610.2855133 HAR

Summary: 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.

List(s) this item appears in: Operation & quantitative Techniques | Non Fiction

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	Operations Management & Quantitative Techniques	610.2855133 HAR (Browse shelf(Opens below))	1	Checked out	10/03/2024	004221

Browsing Indian Institute of Management LRC shelves, Shelving location: General Stacks, Collection: Operations Management & Quantitative Techniques Close shelf browser (Hides shelf browser)

Previous								Next
Previous	574.011 SIG Games of life: explorations in ecology, evolution, and behaviour	575 SMI Evolution and the theory of games	610.285 GLA Digitalization in healthcare: implementing innovation and artificial intelligence	610.2855133 HAR R for health data science	620 DEV Lean and agile manufacturing: theoretical, practical and research futurities	620.0015196 RHI Engineering optimization: applications, methods, and analysis	620.0097309045 BIL From insight to innovation:	Next

Table of Contents
I Data wrangling and visualisation
1. Why we love R
2 R basics
3 Summarising data
4 Different types of plots
5 Fine tuning plots

II Data analysis
6 Working with continuous outcome variables
7 Linear regression
8 Working with categorical outcome variables
9 Logistic regression
10 Time-to-event data and survival

III Workflow
11 The problem of missing data
12 Notebooks and Markdown
13 Exporting and reporting
14 Version control
15 Encryption

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.

There are no comments on this title.

to post a comment.