About 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

Created by: Johns Hopkins University

Taught by: Tianjing Li, MD, MHS, PHD, Assistant Professor, Epidemiology
Bloomberg School of Public Health
Taught by: Kay Dickersin, PhD, Professor, Epidemiology
Bloomberg School of Public Health

Commitment	6 weeks of study, 4-6 hours/week
Language	English
How To Pass	Pass all graded assignments to complete the course.
User Ratings	4.7 stars Average User Rating 4.7See what learners said

Syllabus

WEEK 1

Introduction

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.

4 videos, 2 readings

WEEK 2

Framing the Question

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

6 videos, 1 reading

Graded: Module 2

Graded: Peer Assessment 1

WEEK 3

Searching Principles and Bias Assessment

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

10 videos

Graded: Module 3

Graded: Module 4

WEEK 4

Minimizing Metabias, Qualitative Synthesis, and Interpreting Results

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

8 videos

Graded: Module 5

Graded: Module 6

WEEK 5

Planning the Meta-Analysis and Statistical Methods

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

8 videos

Graded: Module 7

Graded: Module 8

WEEK 6

Wrap Up and Final Peer Review Assignment

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.

2 videos, 1 reading

Graded: Peer Review Assignment 2

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Johns Hopkins University

The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.

Ratings and Reviews

Rated 4.7 out of 5 of 466 ratings

awesome course!

Logically designed, easy to follow and very informational. The meta analysis component is a little dry but still insightful. Overall, great course!

Great

Excellent course, very comprehensive and useful for synthesizing empirical studies. Researchers from other disciplines will find it quite useful if strong and credible evidence are required for adoptions of practices.

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Introduction to Systematic Review and Meta-Analysis

Introduction to Systematic Review and Meta-Analysis

Introduction to Systematic Review and Meta-Analysis