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.
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.
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 31 August 2021
- Tuesday 07 December 2021
- Tuesday 01 March 2022
- Tuesday 28 June 2022
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 reviews/Meta-analysis
- Fixed-effects meta-analysis
- Heterogeneity and random-effects meta-analysis
- Forest plot
- Publication bias/Funnel plot
- Galbraith plot