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Overview
UCL offers the Introduction To Meta-Analysis (Online, self paced) programme.
Key facts
- You'll be introduced to the merits of meta-analysis and how it can form an important and informative part of a systematic review.
- Tutors explain the most common statistical methods for conducting a meta-analysis and common issues that may be encountered along the way.
Programme Structure
Courses include:
- 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.
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- London, United Kingdom
Disciplines
Mathematics Computer Sciences View 105 other Short Courses in Computer Sciences in United KingdomWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
A basic level of statistical literacy is required as a prerequisite.
In particular, you 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.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residents75 GBP / full≈ 75 GBP / full -
Domestic Applies to you
Applies to youCitizens or residents75 GBP / full≈ 75 GBP / full
Funding
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