Healthy R - R for Healthcare Data Analysis
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This is a past event
A hands-on practical computer-based course with tutors who will equip you with the most up-to-date R extensions. By the end of this course you will be able use R for: Publication quality visualisations, Effective data summarisation and reshaping, Common statistical analysis and interpretation, Reproducible research strategies
A new 2.5 day quick-start training course for researchers and health care professionals
HealthyR focusses specifically on health-related data analysis and statistics
Programme
Day 1 (09:00 - 17:00)
| Your first R plot: Quality plots with just 2 lines of code |
| R basics: Read in, modify, outliers/missing data |
| Data wrangling: Efficiently summarise data |
| Different types of plots: Bar, box, scatter, line |
Day 2 (09:00 - 17:00)
| Contunous data I: T-test, ANOVA, Wilcoxon sign-rank |
| Continuous data II: Linear regression |
| Categorical data I: Chi-square, McNemar’s, Fisher’s exact |
| Categorical data II: Logistic regression |
Day 3 (09:00 - 13:00)
| Time-to-Event data: Kaplan-Meier, Cox regression |
| Fine tuning plots: Axis labels, colours, legends |
- Speaker
- Various
- Hosted by
- The University of Edinburgh and The Farr Institute of Health Informatics Research
- Venue
- Chancellor's Building, EDinburgh EH16 4TJ
- Contact
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Contact - R.Ots@ed.ac.uk