This is a 1 day course following on from the Introduction to Statistics Using Stata, Data Management & Statistical Analysis Using Stata, Statistical Modelling Using Stata (Continuous Outcomes) and Logistic Regression & Survival Analysis Using Stata courses.
This course goes through the process of a systematic review and presents more advanced techniques such as fixed and random-effects meta-analysis. It also provides explanations of various plots that are presented as well as introducing meta-regression.
Entry requirements: You should have attended the Introduction to Statistics using STATA course or the Data Management and Statistical Analysis using STATA course. Preferably you should have also attended the Statistical Modelling using STATA (Continuous Outcomes) course and the Logistic Regression and Survival Analysis using STATA course. Otherwise, you should have at least some familiarity with statistics and the Stata software.
Course Tutor: Joseph Eliahoo
This course has been approved by the Royal College of Physicians for 6 CPD credits.
Early Bird rate is available for up to 2 weeks before the session runs.
Contact us on stathelp@imperial.ac.uk for any queries
Course Content
- Systematic reviews/Meta-analysis
- Fixed-effects meta-analysis
- Heterogeneity and random-effects meta-analysis
- Forest plot
- Publication bias/Funnel plot
- Galbraith plot
- Meta-regression
Fees and dates for 2025-2026
Course Fees
- Imperial College Students : £200 (Early-bird rate : £180)
- External students : £260 (Early-bird rate : £234)
- Imperial College Staff : £340 (Early-bird rate : £306)
- External : £460 (Early-bird rate : £414)
Click here for Cancellation Policy
Dates
- Tuesday 02 December 2025 - ONLINE
- Tuesday 10 February 2026 - ONLINE
- Tuesday 09 June 2026
- Tuesday 21 July 2026 - ONLINE
Please CLICK HERE to be redirected to the registration forms and booking links.
Time and Location
Participants may indicate in-class or Online participation.
If delivery mode is ONLINE ONLY, this will be confirmed 3 weeks prior to the course date.
Final details will be sent a week prior to the course date.