Systematic Reviews and Meta-Analysis Using Stata
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.
- Systematic reviews/Meta-analysis
- Fixed-effects meta-analysis
- Heterogeneity and random-effects meta-analysis
- Forest plot
- Publication bias/Funnel plot
- Galbraith plot
Early Bird rate is available for up to 4 weeks before the session runs.
Any problems with booking, please contact us on email@example.com
Please book your place on-line below:
EARLY BIRD RATE
£198.00: Imperial College only.
£333.00: External rate.
£220.00: Imperial College only.
£370.00: External rate
* Click here for Cancellation Policy
Dates for Academic year 2021-2022
- Tuesday 07 December 2021
Tuesday 01 March 2022
Tuesday 28 June 2022
Tuesday 16 August 2022
Time and Location
The course will run face-to-face with an option to join via Microsoft Teams.
Exact details will be sent a week prior to the course date.