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Introduction to Systematic Review and Meta-Analysis
  • Level Foundation
  • Duration 14 hours
  • Course by Johns Hopkins University
  • Offered by

About

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

Modules

Welcome to the course

    • 1 Videos
    • 3 Readings
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1 Videos

  • Welcome to Systematic Reviews and Meta-Analysis

3 Readings

  • Syllabus
  • Pre Course Survey
  • From the Field Videos

Introduction

    • 3 Videos
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3 Videos

  • Lecture 1A : Introduction to Systematic Reviews
  • Lecture 1B: Introduction to Meta-Analysis
  • Lecture 1C: Producers and Users of Systematic Reviews

From the Field

    • 1 Videos
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1 Videos

  • Hannah Rothstein, PhD

Module 2: Framing The Question

    • 6 Videos
    • 1 Assignment
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1 Assignment

  • Module 2

6 Videos

  • Lecture 2A: Resources for How to Frame Your Question
  • Lecture 2B: Deciding the Type and Scope of Your Question
  • Lecture 2C: Elements of the Question
  • Lecture 2D: Refining the Question
  • Lecture 2E: Some Examples
  • Lecture 2F: Analytic Frameworks

From the Field

    • 1 Videos
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1 Videos

  • Betsy Becker, PhD

Peer Review Assignment

    • 1 Readings
    • 1 PeerReview
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1 Peer Review

  • Peer Assessment 1

1 Readings

  • Welcome to the first Peer Assignment!

Module 3: Finding the Evidence - Searching Principles: Claire Twose, MLIS, Guest Lecturer

    • 5 Videos
    • 1 Assignment
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1 Assignment

  • Module 3

5 Videos

  • Searching Principles and Assessing Bias
  • Lecture 3A: Finding the Evidence: Searching Principles
  • Lecture 3B: Identifying Key Sources and Techniques for Searching
  • Lecture 3C: Building a High-Quality Search Strategy
  • Lecture 3D: Documenting Your Search and Conclusions

Module 4: Assessing the Risk of Bias in Clinical Trials

    • 5 Videos
    • 1 Assignment
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1 Assignment

  • Module 4

5 Videos

  • Lecture 4A: Why Bias in the Individual Study is Important to a Systematic Review and Meta-Analysis
  • Lecture 4B: Selection Bias
  • Lecture 4C: Information Bias
  • Lecture 4D: Bias in the Analysis
  • Lecture 4E: Displaying Study "Quality" in Your Systematic Review

From the Field

    • 1 Videos
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1 Videos

  • Byron Wallace, Phd

Module 5: Minimizing Metabias

    • 5 Videos
    • 1 Assignment
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1 Assignment

  • Module 5

5 Videos

  • Lecture 5A: Standards for Systematic Reviews
  • Lecture 5B: Selection Bias
  • Lecture 5C: Information Bias
  • Lecture 5D: Bias in the Analysis
  • Lecture 5E: Reporting Transparently

Module 6: Qualitative Synthesis and Interpreting Results

    • 3 Videos
    • 1 Assignment
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1 Assignment

  • Module 6

3 Videos

  • Lecture 6A: Qualitative Synthesis and Interpreting Results Section A
  • Lecture 6B: What is Qualitative Synthesis
  • Lecture 6C: Some Examples

From the Field

    • 1 Videos
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1 Videos

  • Christopher Schmid, PhD

Module 7: Planning the Meta-Analysis

    • 5 Videos
    • 1 Assignment
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1 Assignment

  • Module 7

5 Videos

  • Planning Meta-Analysis and Statistical Methods
  • Lecture 7A: Planning Your Meta-Analysis Section A
  • Lecture 7B: Introduction to Meta-Analysis
  • Lecture 7C: Why Do a Meta-Analysis?
  • Lecture 7D: Types of Data and Effect Measures

Module 8: Statistical Methods for Meta-Analysis

    • 3 Videos
    • 1 Assignment
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1 Assignment

  • Module 8

3 Videos

  • Lecture 8A: Fixed Effect Model
  • Lecture 8B: Random Effects Model
  • Lecture 8C: Random Effects Model

From the Field

    • 1 Videos
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1 Videos

  • Michael Borenstein, PhD

Module 9: Wrap Up

    • 1 Videos
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1 Videos

  • Lecture 9A: Wrap Up

Peer Review Assignment

    • 1 Readings
    • 1 PeerReview
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1 Peer Review

  • Peer Review Assignment 2

1 Readings

  • Welcome to Your Final Peer Review Assignment

Closing Remarks

    • 1 Videos
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1 Videos

  • Closing Remarks

Auto Summary

"Introduction to Systematic Review and Meta-Analysis" is a foundational course in Data Science & AI, offered by Coursera and led by expert instructors. The course guides learners through the process of conducting systematic reviews and meta-analyses of clinical trials, covering key steps like formulating research questions, defining criteria, data extraction, bias assessment, and interpreting results. With a total duration of 840 minutes, it is available through Starter, Professional, and Paid subscription options, making it ideal for individuals seeking to enhance their skills in clinical research methodology.

Tianjing Li, MD, MHS, PHD
Instructors

Tianjing Li, MD, MHS, PHD

Kay Dickersin, PhD
Instructors

Kay Dickersin, PhD