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.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
Inhaltsangabe
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
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
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