Introduction to Meta-analysis
Publication date: Aug 06, 2015 03:19 PM
Apr 06, 2017 10:00 AM
End: Apr 07, 2017 04:30 PM
6-7th April, 2017: This course provides an overview of meta-analysis from a statistician’s point of view, with an optional half day workshop in R.
Meta-analysis is “the statistical analysis of a large collection of analysis results from individual studies for the purpose of integrating the findings” (Glass, 1976)
We introduce the merits of meta-analysis and how it can form an important and informative part of a systematic review. We explain the most common statistical methods for conducting a meta-analysis and common issues that may be encountered along the way. At the end of the day, delegates should be able to conduct a meta-analysis of their own and interpret the results of meta-analyses published in journal articles.
The following topics are covered:
- 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.
Related topics that we don’t cover on this course are (1) how to conduct a systematic search of the literature, and (2) assessing the quality of studies in a meta-analysis.
On the 2nd, optional, half-day of the course, the theory of day 1 is put in practice with the use of R (Rstudio) and real-world datasets. A basic knowledge of R programming is recommended as a prerequisite (taught on our 1 day course – Introduction to R).
A basic level of statistical literacy is required as a prerequisite. In particular, delegates should have a basic understanding of standard errors, p-values and confidence intervals. Those who have completed the five-day Introduction to Statistics and Research Methods course run frequently by the Centre for Applied Statistics Courses (CASC) team will be equipped.
All CASC courses take place in central London, in or close to the Institute of Child Health. Specific details of the course venue will be supplied after registration.
External Delegates (Non-UCL) £150.00 (£225 for both days)
UCL Staff, Students, Alumni £75.00* (£112.50 for both days)
ICH/GOSH Staff and Doctoral Students FREE †
* Valid UCL email address and/or UCL alumni number required upon registration. Please note, this category does not include hospital staff unless you hold an official contract with the university.
† Limited free spaces available. If there are no free places remaining, ICH/GOSH Staff and Doctoral Students can still register at the UCL rate.
Prices include printed course materials, refreshments (and lunch for non-ICH/GOSH participants 12.45pm - 1.45pm on the first day)
Please note that no refunds will be given for cancellations made within five working days of the course start date or for non-attendance, and for individuals attending the course on a funded place, a fee will be charged for late cancellation/non-attendance according to the same time frame. This fee is needed to cover printing, catering, etc. costs that are ordered no later than 5 days before the course and are based on the number of people registered at that point in time.
- Future dates
Dates Time Cost Apply 6th-7th April, 2017
10.00am – 4.30pm (1.45pm – 4.30pm, day 2) £150*† (£225^)
12th-13th July, 2017 10.00am – 4.30pm (10.00am - 12.45pm, day 2) £150*† (£225^) Register (1-day)
*Cost for external participants.
†Price includes printed course materials, refreshments (and lunch for non-ICH/GOSH participants 12.45pm - 1.45pm on the first day)
^Cost for both days; 2nd day is optional
“I really enjoyed this course. I didn't know exactly what to expect but it will be very useful to me. I learnt a lot. Thanks!” “This was an excellent course, thank you very much.” “Really relevant course, well put together and delivered.” “I found the interactive calculations reinforced the learning well.”