About this course: 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
Taught by: Tianjing Li, MD, MHS, PHD, Assistant Professor, Epidemiology
Bloomberg School of Public Health
Taught by: Kay Dickersin, PhD, Professor, Epidemiology
Bloomberg School of Public Health
| Commitment | 6 weeks of study, 4-6 hours/week |
| Language | English |
| How To Pass | Pass all graded assignments to complete the course. |
| User Ratings |
- Video: Welcome to Systematic Reviews and Meta-Analysis
- Reading: Syllabus
- Reading: Pre Course Survey
- Video: Lecture 1A : Introduction to Systematic Reviews
- Video: Lecture 1B: Introduction to Meta-Analysis
- Video: Lecture 1C: Producers and Users of Systematic Reviews
- Video: Lecture 2A: Resources for How to Frame Your Question
- Video: Lecture 2B: Deciding the Type and Scope of Your Question
- Video: Lecture 2C: Elements of the Question
- Video: Lecture 2D: Refining the Question
- Video: Lecture 2E: Some Examples
- Video: Lecture 2F: Analytic Frameworks
- Reading: Welcome to the first Peer Assignment!
- Video: Searching Principles and Assessing Bias
- Video: Lecture 3A: Finding the Evidence: Searching Principles
- Video: Lecture 3B: Identifying Key Sources and Techniques for Searching
- Video: Lecture 3C: Building a High-Quality Search Strategy
- Video: Lecture 3D: Documenting Your Search and Conclusions
- Video: Lecture 4A: Why Bias in the Individual Study is Important to a Systematic Review and Meta-Analysis
- Video: Lecture 4B: Selection Bias
- Video: Lecture 4C: Information Bias
- Video: Lecture 4D: Bias in the Analysis
- Video: Lecture 4E: Displaying Study "Quality" in Your Systematic Review
- Video: Lecture 5A: Standards for Systematic Reviews
- Video: Lecture 5B: Selection Bias
- Video: Lecture 5C: Information Bias
- Video: Lecture 5D: Bias in the Analysis
- Video: Lecture 5E: Reporting Transparently
- Video: Lecture 6A: Qualitative Synthesis and Interpreting Results Section A
- Video: Lecture 6B: What is Qualitative Synthesis
- Video: Lecture 6C: Some Examples
- Video: Planning Meta-Analysis and Statistical Methods
- Video: Lecture 7A: Planning Your Meta-Analysis Section A
- Video: Lecture 7B: Introduction to Meta-Analysis
- Video: Lecture 7C: Why Do a Meta-Analysis?
- Video: Lecture 7D: Types of Data and Effect Measures
- Video: Lecture 8A: Fixed Effect Model
- Video: Lecture 8B: Random Effects Model
- Video: Lecture 8C: Random Effects Model
- Video: Lecture 9A: Wrap Up
- Reading: Welcome to Your Final Peer Review Assignment
- Video: Closing Remarks
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I work in a practice environment where assessing the quality of evidence for interventions is becoming more critical from the perspective of resource allocation. This wonderful equips the user with the fundamental concepts and methods for conducting systematic literature reviews and meta-analyses. My only quibble, which is relatively small, is that the course is very clinically focused. For those of us working in public health, it would be useful to have non-clinical examples of interventions eg. physical activity, diet, and tobacco cessation. Otherwise, I couldn't recommend this course more to researchers and practitioners interested in answering the questions: what works; what works better based on resources? As a JHU alum,. I am proud of the quality and rigor of this course. Thank you!
Clearly explained about how to perform systematic review. Enjoyable to learn the course.
Excelente curso para alunos da área da saúde.
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I learned a great deal from this course. Just wanted to thank the providers and the Coursera community for that.