Introduction to Systematic Review and Meta-Analysis course for johns hopkins university
Introduction to Systematic Review and Meta-Analysis free videos and free material uploaded by Johns Hopkins University Staff .
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
Planning the Meta-Analysis and Statistical Methods
This module will cover the planning of your meat-analysis and the statistical methods for meta-analysis
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
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:
1 Describe the steps in conducting a systematic review
2 Develop an answerable question using the “Participants Interventions Comparisons Outcomes” (PICO) framework
3 Describe the process used to collect and extract data from reports of clinical trials
4 Describe methods to critically assess the risk of bias of clinical trials - Describe and interpret the results of meta-analyses
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