BLAPRAS Networking Scheme presents:

In the age of ever-growing CST application competition, we would like to provide our members and committee with chances to build their portfolios. R is a statistical programming language widely used in medical and surgical research for data analysis and visualisation. 

The free series, through a combination of lectures, close peer tutoring, and worksheets to work through and keep, aims to teach participants the basics of R; starting from preiewing the data and calculating basic summary statistics, to interpreting Kaplan-Meier curves and building cox regression models.

You do not need any coding or research background to join this, only passion and a desire to get published!

16.02.2026
Loading and previewing data
Exploring variables and dataset structures
Tidying and cleaning messy data
Calculating basic summary statistics
Presenting findings clearly for audits
23.02.2026
Create a bar chart to visualise categorical counts
Create a boxplot to compare distributions between groups
Create a scatterplot to explore relationship between two numeric variables
Introduce grouping / overlay using colour
02.03.2026
Comparing data groups
Using linear regression to analyse predictors of function recovery
Asessing binary outcomes (complications vs no complications)
Interpreting model outputs and summaries for practical insight
09.03.2026
Learn to plot and interpret kaplan-meier curves
Compare survival between clinical groups
Build a beginner-friendly cox-regression model
Identify predictors of recurrence risk