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.

Systematic Stata imageThis 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.

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

Course Tutor: Joseph Eliahoo

EARLY BIRD RATE available upto 4 weeks before course date

Please book your course on-line by clicking on your chosen date below.

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Please book your place on-line below:

Course Rates


£171.00: Imperial College only.

£297.00: External rate.


£190.00: Imperial College only.

£330.00: External rate

* Click here for Cancellation Policy

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

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