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.
Offered By
Introduction to Systematic Review and Meta-Analysis
Johns Hopkins UniversityAbout this Course
Offered by

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.
Syllabus - What you will learn from this course
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.
Framing the Question
In this module, we will discuss how to frame a question, as well as scope, elements, and refining the question.
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.
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.
Reviews
- 5 stars79.99%
- 4 stars17.77%
- 3 stars1.88%
- 2 stars0.27%
- 1 star0.06%
TOP REVIEWS FROM INTRODUCTION TO SYSTEMATIC REVIEW AND META-ANALYSIS
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!
I am very happy with the content of the course, and also I hope you can open a new course of intermediate level. Congratulations to this amazing woman that create this course! Thank you!
Really excellent information. Would have appreciated more basic discussion of statistical concepts, or a link to resources for those not as familiar with them or without a background in epidemiology.
It must include some basics for Statistics involved in Meta analysis, other new students joining from world because they did not study this in their Epidemiology classes in their universities.
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