John Hopkins University - Introduction to Systematic Review and Meta-Analysis 

Welcome to Systematic Reviews and Meta-Analysis

Lecture 1A : Introduction to Systematic Reviews

Lecture 1B: Introduction to Meta-Analysis

Lecture 1C: Producers and Users of Systematic Reviews

Hannah Rothstein, PhD

Syllabus

Pre Course Survey

From the Field Videos

Framing the Question

Lecture 2A: Resources for How to Frame Your Question

Lecture 2B: Deciding the Type and Scope of Your Question

Lecture 2C: Elements of the Question

Lecture 2D: Refining the Question

Lecture 2E: Some Examples

Lecture 2F: Analytic Frameworks

Betsy Becker, PhD

Welcome to the first Peer Assignment!

Module 2

Searching Principles and Bias Assessment

Searching Principles and Assessing Bias

Lecture 3A: Finding the Evidence: Searching Principles

Lecture 3B: Identifying Key Sources and Techniques for Searching

Lecture 3C: Building a High-Quality Search Strategy

Lecture 3D: Documenting Your Search and Conclusions

Lecture 4A: Why Bias in the Individual Study is Important to a Systematic Review and Meta-Analysis

Lecture 4B: Selection Bias

Lecture 4C: Information Bias

Lecture 4D: Bias in the Analysis

Lecture 4E: Displaying Study "Quality" in Your Systematic Review

Byron Wallace, Phd

Module 3

Module 4

Minimizing Metabias, Qualitative Synthesis, and Interpreting Results

Lecture 5A: Standards for Systematic Reviews

Lecture 5B: Selection Bias

Lecture 5C: Information Bias

Lecture 5D: Bias in the Analysis

Lecture 5E: Reporting Transparently

Lecture 6A: Qualitative Synthesis and Interpreting Results Section A

Lecture 6B: What is Qualitative Synthesis

Lecture 6C: Some Examples

Christopher Schmid, PhD

Module 5

Module 6

Planning the Meta-Analysis and Statistical Methods

Planning Meta-Analysis and Statistical Methods

Lecture 7A: Planning Your Meta-Analysis Section A

Lecture 7B: Introduction to Meta-Analysis

Lecture 7C: Why Do a Meta-Analysis?

Lecture 7D: Types of Data and Effect Measures

Lecture 8A: Fixed Effect Model

Lecture 8B: Random Effects Model

Lecture 8C: Random Effects Model

Michael Borenstein, PhD

Module 7

Module 8

Wrap Up and Final Peer Review Assignment

Lecture 9A: Wrap Up

Closing Remarks

Welcome to Your Final Peer Review Assignment