early birdFor this course we offer a special 10% discounted Early Bird rate for those who book early (up to 4 weeks before the session runs).

Please book your place on-line below:

Please book your place on-line below:

Course Rates

EARLY BIRD RATE (valid only until 4 weeks before each session runs)

£153.00: Imperial College only.

£279.00: External rate.


£170.00: Imperial College only.

£310.00: External rate

2019/2020 Dates



Time and Location

The courses will be run online via Microsoft Teams for an unforseeable future.

Exact details will be sent a week prior to the course date

Systematic Stata imagePlease book your course on-line by clicking on your chosen date above. Any problems with booking, please contact Krupa Shukla on +44 (0)20 7594 1754 or stathelp@imperial.ac.uk

Stata is an interactive data management and statistical analysis program, which has become very popular among researchers in most disciplines. The programme provides a broad range of statistics. It is very user-friendly and also has internet capabilities.

Course Outline (2019/2020)

  • Systematic reviews/Meta-analysis
  • Fixed-effects meta-analysis
  • Heterogeneity and random-effects meta-analysis
  • Forest plot
  • Publication bias/Funnel plot
  • Galbraith plot
  • Meta-regression

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 & Statistical Analysis Using Stata course. Preferably you should have also attended the Statistical Modelling Using Stata (Continuous Outcomes) course and the Logistic Regression & Survival Analysis Using Stata course. Otherwise, you should have at least some familiarity with statistics and the Stata software.

Tutor: Joseph Eliahoo, Statistical Consultant, Statistical Advisory Service.

This course has been approved by the Royal College of Physicians for 6 CPD credits.

If you are not able to attend on the day, please contact stathelp@imperial.ac.uk as soon as you can.