R is a free software environment for statistical computing and graphics.

The R language allows the user, for instance, to program a series of commands to pre-process and manipulate data and then analyse that data before tailoring, presenting and plotting the results. R packages are pre-written code to find a solution to problem. R packages shared by other R users allows the user to find efficient solution to problem with ease.

Following on from the Introduction to Statistics using R course, this half-day PC based workshop will go through advanced statistical techniques for survival analysis and Cox proportional hazards regression.

Course Tutor: Krupa Shukla

Entry Requirements: Participants from any background can attend the course. Some familiarity with R and statistics is required to attend this course. Alternatively, you should have attended Introduction to R or Foundations in R and Introduction to Statistics using R course.

Early-bird is available for up to 2 weeks before the session runs.

For group/block bookings, charity pricing and course queries, please contact stathelp@imperial.ac.uk.

Course Content

  • Survival analysis
  • Life tables
  • Kaplan-Meier survival graphs
  • Log-rank and Tarone-Ware test
  • Cox propotional hazards regression
  • Diagnostics for proportional hazards

Fees and dates for 2025-2026

Course Fees

Imperial College Students : £120 (Early-bird fees: £108)

External Students : £160 (Early-bird fees: £144)

Imperial College Staff : £200 (Early-bird fees: £180)

External : £240 (Early-bird fees: £216)

Click here for Cancellation Policy

Dates

  • Thursday 30 April 2026
  • Tuesday 04 August 2026

Please CLICK HERE to be redirected to the registration forms and booking links.

Time and Location

The course will be delivered Online via MS Teams from 10am to 1pm.

Further details will be sent a week prior to the course date.