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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.
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.
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.
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
| Erscheinungsjahr: | 2020 |
|---|---|
| Fachbereich: | Allgemeine Lexika |
| Genre: | Medizin |
| Rubrik: | Wissenschaften |
| Medium: | Taschenbuch |
| Seiten: | 364 |
| Inhalt: | Einband - flex.(Paperback) |
| ISBN-13: | 9780367428198 |
| ISBN-10: | 0367428199 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Harrison, Ewen
Pius, Riinu |
| Hersteller: | Taylor & Francis Ltd |
| Maße: | 244 x 186 x 24 mm |
| Von/Mit: | Ewen Harrison (u. a.) |
| Erscheinungsdatum: | 17.11.2020 |
| Gewicht: | 0,714 kg |
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.
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
| Erscheinungsjahr: | 2020 |
|---|---|
| Fachbereich: | Allgemeine Lexika |
| Genre: | Medizin |
| Rubrik: | Wissenschaften |
| Medium: | Taschenbuch |
| Seiten: | 364 |
| Inhalt: | Einband - flex.(Paperback) |
| ISBN-13: | 9780367428198 |
| ISBN-10: | 0367428199 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Harrison, Ewen
Pius, Riinu |
| Hersteller: | Taylor & Francis Ltd |
| Maße: | 244 x 186 x 24 mm |
| Von/Mit: | Ewen Harrison (u. a.) |
| Erscheinungsdatum: | 17.11.2020 |
| Gewicht: | 0,714 kg |
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