Meta-Analysis 101
$89.00
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About this course
Master the art of meta-analysis in this comprehensive course! Learn how to craft precise research questions, develop effective search strategies, analyze data, and write impactful reports. With hands-on practice and expert guidance, you’ll gain the skills to conduct rigorous meta-analyses and produce high-quality, evidence-based conclusions.
Course Curriculum
1. Getting Started: The Fundamentals of Meta-Analysis
What is a meta-analysis and when can I conduct a meta-analysis? We delve into the fundamental concepts behind meta-analysis, and cover the first few steps to get you started on your research journey.
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Part 1: Getting Started
26:27 -
Part 2: Study Selection and Other Challenges
19:57
2. Dealing with Missing Data in Meta-Analysis
Learn how to turn incomplete study summaries into analysable inputs for meta-analysis—so you keep more evidence, reduce bias, and boost precision.
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Missing Data, No Problem
33:19
3. Approach to Longitudinal Studies
Master when to analyse final values versus changes over time, and how to handle baseline imbalances—critical for fair comparisons in longitudinal research.
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Before–After Done Right
08:40
4. A Guide to Meta-Analysis of Proportions and Meta-Regression
See how to pool single-arm proportions, read heterogeneity the right way, and probe drivers with meta-regression—skills that translate directly to real clinical questions.
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Proportions & Patterns
23:07
5. Units-of-Analysis Problems
Resolve “units-of-analysis” conflicts when studies use different scales. You’ll learn practical pathways to make results comparable without losing clinical meaning.
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Apples-to-Apples Outcomes
11:09
6. Worked Examples in R: From Data to Forest Plots
A guided step-by-step guide through the various commonly used functions in R's meta package — so you can reproduce polished analyses end-to-end.
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From Data to Forest Plots
48:15