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This short course provides an overview of meta-analysis from a statistician's point of view.
You'll learn about:
- the merits of meta-analysis and how it can form an important and informative part of a systematic review
- the most common statistical methods for conducting a meta-analysis
- common issues that may be encountered
By the end of the course you should be able to conduct a meta-analysis of your own and interpret the results of meta-analyses published in journal articles.
This course takes place online, over two or three mornings (9:30am to 1pm). The third day is an optional practical workshop using R.
Due to the coronavirus outbreak, this course will be run online through a live video feed.
This course is delivered by the Centre for Applied Statistics Courses (CASC), part of the UCL Great Ormond Street Institute of Child Health (ICH).
The course will cover the following topics:
- An introduction to meta-analysis and its place in evidence-based research
- Outcome measures and extracting relevant data from journal articles
- Fixed effect and random-effects models
- Heterogeneity between studies
- How to identify and deal with publication bias
On the optional second day, you'll put the theory into practice using R (Rstudio) and real-world datasets.
You should have a basic understanding of standard errors, p-values and confidence intervals.
To attend the workshop you should have a basic knowledge of R programming.
By the end of this course you should be able to:
- understand the main principles and objectives of meta-analysis
- pick out relevant data from journal articles for a meta-analysis and calculate summary statistics
- undertake a fixed effect and random-effects meta-analysis
- investigate the differences between the studies and how this may impact the study results
- investigate bias in a meta-analysis
You can request a certificate of attendance for this course once you've completed it. Please send your request to email@example.com
Include the following in your email:
- the name of the completed course for which you'd like a certificate
- how you'd like your name presented on the certificate (if the name/format differs from the details you gave during registration)
Cost and concessions
The fees are as follows:
- External delegates (non UCL) - £150 (£225 for both days)
- UCL staff, students, alumni - £75* (£112.50 for both days)
- ICH/GOSH staff and students - free
* valid UCL email address and/or UCL alumni number required upon registration
Find out about other CASC statistics courses
CASC's stats courses are for anyone requiring an understanding of research methodology and statistical analyses. The courses will allow non-statisticians to interpret published research and/or undertake their own research studies.
Find out more about CASC's full range of statistics courses, and the continuing statistics training scheme (book six one-day courses and get a seventh free.)
Dr Dean Langan - Course Lead
Dean is a Senior Teaching Fellow in CASC. He has a Bachelor’s degree in Mathematics from University of Liverpool, a Master's degree in Medical Statistics from University of Leicester, and a PhD from University of York for his research in statistical methods for random-effects meta-analysis. He's worked as a statistician on a number of clinical trials related to stroke and myeloma at the Clinical Trials Research Unit in Leeds. His specialist areas include statistical methods for meta-analysis, R programming, clinical trial methodology and research design.
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Course information last modified: 20 May 2021, 12:36