Systematic Reviews and Meta-Analysis
Due to demand this 4 day course will run twice:
12 - 15 December 2017
12 - 15 June 2018
4 days (approximately 24 hours teaching, including 14 hours of lectures and 10 hours of practical sessions).
Registration will start at 9am on the first day, the course will finish by 4pm on the final day. There will be an optional computer practical starting at 8am on the second day.
Professor Julian Higgins, Dr Hayley Jones, Dr Jelena Savović (course organisers), Professor Jonathan Sterne, Sarah Dawson, Dr Philippa Davies, Dr Deborah Caldwell, Dr Alexandra McAleenan, Dr Howard Thom and others.
The course aims to introduce participants to the methodology of systematic reviews and meta-analysis.
By the end of the course participants should be able to:
- explain the need for systematic reviews and meta-analyses;
- list the important aspects of a systematic review;
- perform a comprehensive search for relevant literature;
- appreciate the role of tools to assess risk of bias, including their application to randomised controlled trials;
- explain the basic methods of meta-analysis;
- use Stata software to perform meta-analysis;
- describe issues in conducting systematic reviews of observational studies;
- summarise the findings of a systematic review or meta-analysis;
- evaluate the quality of a systematic review.
Who the course is intended for
This course is designed for clinicians, researchers, public health specialists and other health care professionals who want to perform and/or evaluate systematic reviews and meta-analyses. The course predominantly focuses on systematic reviews of healthcare interventions, although much of the material translates to systematic reviews in other areas. Sessions examine issues in systematic reviews and meta-analyses of observational studies, network meta-analysis and diagnostic test accuracy.
Participants should have knowledge of statistical methods to the level of our 'Introduction to Statistics' course. A basic appreciation of research designs (to the level of our 'Introduction to Epidemiology' course) would be helpful, as would basic knowledge of Stata.
- Why we need systematic reviews and meta-analyses.
- The systematic review process.
- Identifying relevant studies.
- Screening and data extraction.
- Types of data and effect sizes.
- Assessing risk of bias in primary studies.
- Statistical methods for meta-analysis.
- Heterogeneity and meta-regression.
- Meta-analysis in Stata.
- Bias in systematic reviews.
- Systematic review and meta-analysis of observational studies.
- Introduction to reviews of diagnostic test accuracy.
- Introduction to network meta-analysis.
- Certainty in the evidence in a systematic review.
- Reporting a systematic review.
- Evaluating the quality of a systematic review.
Computer practicals on meta-analysis will be undertaken using Stata. An optional Introduction to Stata session will run on the morning of the second day, for course participants with no previous experience of Stata or those wanting a refresher.
Please note: Practical sessions of this course will be held in a computer lab, so you will not need to bring a laptop.
Systematic Reviews in Health Care: Meta-analysis in Context, edited by Matthias Egger, George Davey Smith and Doug Altman (BMJ Books, 2001)
Introduction to Meta-analysis, by Michael Borenstein, Larry Hedges, Julian Higgins and Hannah Rothstein (Wiley-Blackwell, 2009)
Cochrane Handbook for Systematic Reviews of Interventions, edited by Julian Higgins and Sally Green (Wiley-Blackwell, 2008)
Meta-analysis in Stata, edited by Tom Palmer and Jonathan Sterne. (Stata Press, 2016)
June 2018 - fully booked, waiting lists in operation.
More information on course fees, fee waivers and reduced prices.
Bristol Medical School
39 Whatley Road
We provide morning and afternoon refreshment breaks, including tea and coffee, biscuits and fresh fruit.
If you have specific dietary needs we ask that you let us know in advance.
Lunch is not included. There are a range of local cafes and supermarkets nearby for students to purchase lunch.
Information about accommodation in the area.
Related short courses
For further information please email email@example.com.