Introduction to Systematic Review and Meta-Analysis

Introduction to Systematic Review and Meta-Analysis

Instructors: Tianjing Li, MD, MHS, PHD

214,228 already enrolled

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6 modules

Gain insight into a topic and learn the fundamentals.

3,583 reviews

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

97%

Most learners liked this course

6 modules

Gain insight into a topic and learn the fundamentals.

3,583 reviews

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

97%

Most learners liked this course

Skills you'll gain

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Assessments

7 assignments¹

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Taught in English

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There are 6 modules in this course

We will introduce methods to perform systematic reviews and meta-analysis of clinical trials. We will cover how to formulate an answerable research question, define inclusion and exclusion criteria, search for the evidence, extract data, assess the risk of bias in clinical trials, and perform a meta-analysis.

Upon successfully completing this course, participants will be able to: - Describe the steps in conducting a systematic review - Develop an answerable question using the “Participants Interventions Comparisons Outcomes” (PICO) framework - Describe the process used to collect and extract data from reports of clinical trials - Describe methods to critically assess the risk of bias of clinical trials - Describe and interpret the results of meta-analyses

To get the ball rolling, we'll take a broad overview of what to expect in this course and then introduce you to the high-level concepts of systematic review and meta-analysis and take a look at who produces and uses systematic reviews.

What's included

5 videos3 readings

5 videos Total 40 minutes

Welcome to Systematic Reviews and Meta-Analysis 2 minutes
Lecture 1A : Introduction to Systematic Reviews 15 minutes
Lecture 1B: Introduction to Meta-Analysis 13 minutes
Lecture 1C: Producers and Users of Systematic Reviews 8 minutes
Hannah Rothstein, PhD 1 minute

3 readings Total 30 minutes

Syllabus 10 minutes
Pre Course Survey 10 minutes
From the Field Videos 10 minutes

In this module, we will discuss how to frame a question, as well as scope, elements, and refining the question.

What's included

7 videos1 reading1 assignment1 peer review

7 videos Total 73 minutes

Lecture 2A: Resources for How to Frame Your Question 7 minutes
Lecture 2B: Deciding the Type and Scope of Your Question 18 minutes
Lecture 2C: Elements of the Question 17 minutes
Lecture 2D: Refining the Question 11 minutes
Lecture 2E: Some Examples 9 minutes
Lecture 2F: Analytic Frameworks 10 minutes
Betsy Becker, PhD 2 minutes

1 reading Total 10 minutes

Welcome to the first Peer Assignment! 10 minutes

1 assignment Total 30 minutes

Module 2 30 minutes

1 peer review Total 120 minutes

Peer Assessment 1 120 minutes

In this module we will look at finding the evidence, as well as key sources, search strategy, and assessing the risk of bias.

What's included

11 videos2 assignments

11 videos Total 119 minutes

Searching Principles and Assessing Bias 3 minutes
Lecture 3A: Finding the Evidence: Searching Principles 6 minutes
Lecture 3B: Identifying Key Sources and Techniques for Searching 18 minutes
Lecture 3C: Building a High-Quality Search Strategy 17 minutes
Lecture 3D: Documenting Your Search and Conclusions 8 minutes
Lecture 4A: Why Bias in the Individual Study is Important to a Systematic Review and Meta-Analysis 7 minutes
Lecture 4B: Selection Bias 19 minutes
Lecture 4C: Information Bias 8 minutes
Lecture 4D: Bias in the Analysis 15 minutes
Lecture 4E: Displaying Study "Quality" in Your Systematic Review 16 minutes
Byron Wallace, Phd 2 minutes

2 assignments Total 60 minutes

Module 3 30 minutes
Module 4 30 minutes

In this module, we will cover minimizing metabias, selection bias, information bias, how to report transparently, qualitative synthesis, and interpreting results.

What's included

9 videos2 assignments

9 videos Total 88 minutes

Lecture 5A: Standards for Systematic Reviews 6 minutes
Lecture 5B: Selection Bias 22 minutes
Lecture 5C: Information Bias 13 minutes
Lecture 5D: Bias in the Analysis 15 minutes
Lecture 5E: Reporting Transparently 7 minutes
Lecture 6A: Qualitative Synthesis and Interpreting Results Section A 7 minutes
Lecture 6B: What is Qualitative Synthesis 10 minutes
Lecture 6C: Some Examples 6 minutes
Christopher Schmid, PhD 1 minute

2 assignments Total 60 minutes

Module 5 30 minutes
Module 6 30 minutes

This module will cover the planning of your meat-analysis and the statistical methods for meta-analysis.

What's included

9 videos2 assignments

9 videos Total 109 minutes

Planning Meta-Analysis and Statistical Methods 1 minute
Lecture 7A: Planning Your Meta-Analysis Section A 8 minutes
Lecture 7B: Introduction to Meta-Analysis 15 minutes
Lecture 7C: Why Do a Meta-Analysis? 11 minutes
Lecture 7D: Types of Data and Effect Measures 20 minutes
Lecture 8A: Fixed Effect Model 21 minutes
Lecture 8B: Random Effects Model 15 minutes
Lecture 8C: Random Effects Model 17 minutes
Michael Borenstein, PhD 2 minutes

2 assignments Total 60 minutes

Module 7 30 minutes
Module 8 30 minutes

In this final module, we'll wrap up with a look back at the key concepts covered over the past few weeks. Afterwards, you will submit your final Peer Review Assignment and evaluate some of your classmates' submissions.

What's included

2 videos1 reading1 peer review

Instructors

Instructor ratings

(936 ratings)

Tianjing Li, MD, MHS, PHD

Johns Hopkins University

1 Course 214,228 learners

Kay Dickersin, PhD

Johns Hopkins University

1 Course 214,228 learners

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Johns Hopkins University

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Reviewed on Sep 1, 2019

This course helps to learn basics about systematic review and meta-analysis. I recommend this course to the beginners, who wants to do systematic review in future. Thank you John Hopkins!

Reviewed on Aug 7, 2020

Very informative and a great introduction for graduate students. I hope the skills and knowledge I have learned in the course can help me succeed in writing my own systematic review.

Reviewed on Feb 12, 2017

Incredible course! You learned a lot from these amazing professors. If you take this course you will know how to do a high quality systematic review and even a meta analysis and publish them.

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