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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: 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.