A two-days practical PC-based workshop, following on from the introduction, presenting more advanced statistical techniques such as ANOVA, ANCOVA, Multiple Regression, Logistic Regression, ROC Curves and Survival analysis.

The main focus is on the statistical method: choosing the one that is appropriate for your data followed by the model specification and interpretation of the results.


Course Tutor: Joseph Eliahoo

This course has been approved by the Royal College of Physicians for 12 CPD credits.

Entry requirements: Some familiarity with statistics and SPSS, to at least the level of Introduction to Statistics using SPSS or Data Management and Statistical Analysis using SPSS.


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

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

 Survival analysis

        - Life tables, Kaplan-Meier survival graphs, Log-rank test and Tarone-Ware test, Cox proportional hazards regression and Diagnostics for proportional hazards

Fees and dates 2025-2026

Course Fees

  • Imperial College Students : £400 (Early-bird rate : £360)
  • External students : £520 (Early-bird rate : £468)
  • Imperial College Staff : £680 (Early-bird rate : £612)
  • External : £920 (Early-bird rate : £828)

Click here for Cancellation Policy

Dates

  • Tuesday 11 & Wednesday 12 November 2025
  • Tuesday 23 & Wednesday 24 June 2026

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

Time and Location

The courses will be run online via Microsoft Teams from 9:30am to 4:30pm on the dates mentioned.

Details will be sent a week before the course date.