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.
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.
Course Tutor: Joseph Eliahoo
This course has been approved by the Royal College of Physicians for 6 CPD credits.
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
Early Bird rate is available for up to 4 weeks before the session runs.
Any problems with booking, please contact us on stathelp@imperial.ac.uk
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.
Delivery Mode will be confirmed 3 weeks prior to the course date.
Final details will be sent a week prior to the course date.