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 two-days PC based workshop will go through advanced statistical modelling and regression methods for continuous and categorical outcomes.

Course Tutor: Krupa Shukla

CPD Credits: 12 CPD Credits approved by The Royal College of Physicians

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 rate 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

  • Chi-Square and Fisher's exact Test
  • One-way Analysis of Variance (One-way ANOVA)
  • Correlation and Simple Linear Regression
  • Two-way Analysis of Variance (Two-way ANOVA) - interpreting interactions
  • Multiple Linear Regression - including stepwise selection methods and regression diagnostics
  • Analysis of Covariance (ANCOVA)
  • Logistic Regression - Odds ratios, Likelihood ratio test, Hosmer-Lemeshow test, Diagnostic tests and ROC curves
  • Introduction to Survival Analysis - Life table and Kaplan Meier survival graphs

Fees and dates for 2025-2026

Course Fees

Imperial College Students : £400 (Early-bird fees: £360)

External Students : £520 (Early-bird fees: £468)

Imperial College Staff : £680 (Early-bird fees: £612)

External : £920 (Early-bird fees: £828

Click here for Cancellation Policy

Dates

  • Wed 10 & Thu 11 December 2025 - ONLINE
  • Mon 09 & Tue 10 March 2026
  • Tue 16 & Wed 17 June 2026
  • Tue 28 & Wed 29 July 2026

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

Time and Location

The delivery mode is HYBRID for all courses unless specified ONLINE ONLY.

HYBRID courses may be switched to ONLINE ONLY in unforeseen circumstances.

This will be confirmed 3 weeks before the course date.

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