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 4 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 2024-2025

Course Fees

EARLY BIRD RATE 

£297: Imperial College only.

£414: External rate.


STANDARD RATE

£330: Imperial College only.

£460: External rate.

* Click here for Cancellation Policy

Dates

  • Tuesday 17 December 2024
  • Tuesday 11 February 2025
  • Tuesday 24 June 2025
  • Tuesday 22 July 2025

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.