Find Out More

New training courses for researchers and healthcare professionals

HealthyR courses focus specifically on health-related data analysis and statistics.

They are hands-on and computer-based with tutors who will equip you with the most up-to-date R extensions. By the end of our 2.5-day quick-start course you will be able use R for:

  • Publication quality visualisations
  • Effective data summarisation and reshaping
  • Common statistical analysis and interpretation
  • Reproducible research strategies

HealthyR Team


Riinu Ots

PhD

Senior Data Manager

Website

Ewen Harrison

PhD

Professor

Website

Peter Hall

PhD

Senior Lecturer

Website

Research Fellows

Tom Drake, Cameron Fairfield, Stephen Knight, Kenneth McLean, Michael Ramage, ...

Surgical Informatics

HealthyR: quick-start course (2.5 days)

Day 1 (09:00 - 17:00)

Your first R plot: Quality plots with just 2 lines of code
R basics: Read in, modify, create variables
Data wrangling: Efficiently summarise data
Different types of plots: Bar, box, scatter, line

Day 2 (09:00 - 17:00)

Tests for continuous data I: Linear regression
Working with categorical data: Factor handling
Tests for categorical data: Logistic regression
Exporting: Markdown reports, plots, tables

Day 3 (09:00 - 13:00)

Time-to-Event data: Kaplan-Meier, Cox regression
Fine tuning plots: Axis labels, colours, legends
Our courses teach the very latest R extensions (packages: ggplot2, dplyr, tidyr, and others) making R more user friendly than ever!

HealthyR+: Practical logistic regression (1 day)

Session 1 (09:00 - 10:30)

Logistic regression basics
Introduction
Plotting
Interpretation

Session 2 (11:00 - 12:30)

Perform logistic regression models in R
Univariate vs multivariate
Variable selection
Odds vs probability

Session 3 (13:30 - 15:00)

Further evaluation and interpretation
Diagnostics
Interactions
Forest plots

Session 4 (15:30 - 17:00)

Independent practical
Analyse your own data or our example dataset, format the output and interpret
Sessions 2-4 are all hands-on, Session 4 is independent but with tutors for assistance.