R for Health Data Science

R for Health Data Analysis 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 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

About the author

Ewen is a surgeon and Riinu is a physicist. And they’re both data scientists too. They dabble with a few programming languages and are generally all over technology. They are most enthusiastic about the R statistical programming
language and have a combined experience of 25 years using it. They work at the University of Edinburgh and have taught R to hundreds of healthcare professionals and researchers.

Summary

R for Health Data Analysis 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.

Product details

• Authors: Ewen Harrison, Ewen Pius Harrison, Riinu Pius
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Paperback / Softback
• Released: 17.11.2020
• EAN: 9780367428198
• ISBN: 978-0-367-42819-8
• No. of pages: 364
• Subjects: Guides; Natural sciences, medicine, IT, technology > Medicine > General; Epidemiology & medical statistics, MATHEMATICS / Probability & Statistics / General, MEDICAL / Biostatistics, MEDICAL / Epidemiology, Probability & statistics, Probability and statistics, Epidemiology and Medical statistics