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!

FREE

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 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?

Subgroup analysis

How sensitive is your answer?

Leave one out analysis

Next steps