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.
Introduction to Systematic Review and Meta-Analysis
Instructors: Tianjing Li, MD, MHS, PHD
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There are 6 modules in this course
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
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
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
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
This module will cover the planning of your meat-analysis and the statistical methods for meta-analysis.
What's included
9 videos2 assignments
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
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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 Apr 16, 2020
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.
Reviewed on Aug 9, 2016
The course is a good introduction to the topic, however, it is a pity that there is no follow up to the course. At the end of the course you will not be able to perform a SLR + meta-analysis.
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