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Introduction to Systematic Review and Meta-Analysis

Approx. 14 hours to complete

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Course Summary

This course teaches the skills necessary to conduct a systematic review of scientific literature, including how to formulate a research question, search for relevant literature, assess study quality, and synthesize findings.

Key Learning Points

Learn how to formulate a research question and search for relevant literature
Understand how to assess study quality and synthesize findings
Gain skills in writing a systematic review

Job Positions & Salaries of people who have taken this course might have

- USA: $50,000 - $75,000
- India: ₹5,00,000 - ₹8,00,000
- Spain: €25,000 - €40,000
- USA: $50,000 - $75,000
- India: ₹5,00,000 - ₹8,00,000
- Spain: €25,000 - €40,000
- USA: $60,000 - $100,000
- India: ₹6,00,000 - ₹12,00,000
- Spain: €30,000 - €60,000
- USA: $50,000 - $75,000
- India: ₹5,00,000 - ₹8,00,000
- Spain: €25,000 - €40,000
- USA: $60,000 - $100,000
- India: ₹6,00,000 - ₹12,00,000
- Spain: €30,000 - €60,000
- USA: $70,000 - $120,000
- India: ₹7,00,000 - ₹15,00,000
- Spain: €35,000 - €75,000

Learning Outcomes

Ability to conduct a systematic review of scientific literature
Improved skills in formulating research questions and searching for relevant literature
Enhanced ability to assess study quality and synthesize findings

Prerequisites or good to have knowledge before taking this course

Basic knowledge of scientific research methods
Familiarity with scientific literature databases such as PubMed or Cochrane Library

Course Difficulty Level

Intermediate

Course Format

Online self-paced
Video lectures
Interactive quizzes

Similar Courses

Meta-Analysis
Clinical Trials

Related Education Paths

Notable People in This Field

Dr. Cochrane
Dr. Ioannidis

Related Books

Description

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

Outline

Introduction
Welcome to Systematic Reviews and Meta-Analysis
Lecture 1A : Introduction to Systematic Reviews
Lecture 1B: Introduction to Meta-Analysis
Lecture 1C: Producers and Users of Systematic Reviews
Hannah Rothstein, PhD
Syllabus
Pre Course Survey
From the Field Videos

Framing the Question
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
Betsy Becker, PhD
Welcome to the first Peer Assignment!
Module 2

Searching Principles and Bias Assessment
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
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
Byron Wallace, Phd
Module 3
Module 4

Minimizing Metabias, Qualitative Synthesis, and Interpreting Results
Lecture 5A: Standards for Systematic Reviews
Lecture 5B: Selection Bias
Lecture 5C: Information Bias
Lecture 5D: Bias in the Analysis
Lecture 5E: Reporting Transparently
Lecture 6A: Qualitative Synthesis and Interpreting Results Section A
Lecture 6B: What is Qualitative Synthesis
Lecture 6C: Some Examples
Christopher Schmid, PhD
Module 5
Module 6

Planning the Meta-Analysis and Statistical Methods
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
Lecture 8A: Fixed Effect Model
Lecture 8B: Random Effects Model
Lecture 8C: Random Effects Model
Michael Borenstein, PhD
Module 7
Module 8

Wrap Up and Final Peer Review Assignment
Lecture 9A: Wrap Up
Closing Remarks
Welcome to Your Final Peer Review Assignment

Summary of User Reviews

This course is highly recommended for anyone interested in learning about systematic review. The course covers a wide range of topics and provides a comprehensive understanding of the subject. Many users found the course to be well-structured and easy to follow.

Key Aspect Users Liked About This Course

Well-structured and easy to follow

Pros from User Reviews

Comprehensive coverage of the subject
Good explanations and examples
Helpful resources and references
Engaging and interactive lessons

Cons from User Reviews

Some sections may be too technical for beginners
Lack of personalized feedback
Limited opportunities for hands-on practice
Not suitable for those looking for a quick overview

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