Analyze & Synthesize Data

Analyze & Synthesize Data

This is the seventh course in a series of online courses about how to conduct a systematic review. If you haven’t completed the other steps yet, please visit our homepage to start from the beginning.

For more background on what a systematic review is and how it might help you answer an important question, check out our intro course.

If you’re ready to analyze and synthesize your data, let’s get started!

 

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Getting started

Getting started
What do I do first?
To meta-analyze or not to meta-analyze?

Meta-analysis basics

Meta-analysis
What meta-analysis does
Averaging Approach #1
Averaging approach #2 (stratified pooling)
How did that happen?
What approach to use?

Weighting

Weighting
Weighting by precision
What is precision?
Precision example
Precision example answer
Precision and sample size
Weighting with Precision
How to find precision
Other weights

Common + Random Effects

One truth or many?
The common effect model
Common effect example
What if studies aren’t identical?
Random effects model
When to use random effects
Let’s review

Interpreting your results

Now what?
Meet the forest plot
How to make a forest plot
Study results
Confidence intervals
Displaying your studies
Telling a story
Inserting your final result

Are you sure?

Are you sure?
Subgroup analysis
How sensitive is your answer?
Leave one out analysis
Next steps