
How to Systematic Review & Meta Analyze
What you'll learn
- Master the Basics – Understand systematic reviews & meta-analyses in evidence-based research.
- Conduct a Review – Formulate a question, search, screen, extract data, and assess quality.
- Perform a Meta-Analysis – Learn statistical methods to synthesize data, calculate effect sizes, assess heterogeneity, and interpret forest plots.
- Publish Findings – Write, follow PRISMA, and submit for publication.
Requirements
- No prior experience required – beginners welcome!
- Basic understanding of research concepts is helpful but not necessary.
- Access to a computer with internet for literature searches and data analysis.
- Familiarity with statistical tools (e.g., RevMan, R, or Stata) can be beneficial but will be covered in the course.
Description
Are you looking to master the process of conducting systematic reviews and meta-analyses for academic, clinical, or publication purposes? This course provides a step-by-step, practical guide to help you design, conduct, and publish high-quality systematic reviews and meta-analyses.
Whether you’re a researcher, medical professional, or student, this course will equip you with the essential skills to formulate a research question, perform a comprehensive literature search, assess study quality, extract data, and apply meta-analysis techniques using statistical tools. You will also learn how to interpret results, avoid common pitfalls, and prepare your review for journal submission following PRISMA guidelines.
By the end of this course, you will have the confidence to conduct and publish your own systematic review and meta-analysis, contributing valuable evidence to your field. No prior experience required—ideal for beginners and advanced learners alike!
What You’ll Learn:
Understand the principles of systematic reviews and meta-analyses and why they’re critical in evidence-based research.
Develop a structured approach to formulating a research question, creating a study protocol, and defining inclusion and exclusion criteria.
Master the art of conducting a comprehensive literature search, utilizing key databases like PubMed, Cochrane, and Embase, as well as grey literature sources.
Learn how to screen studies efficiently using tools like Rayyan, extract essential data, and ensure quality control throughout the process.
Gain expertise in risk of bias assessment and grading evidence using recognized tools like Cochrane Risk of Bias, ROBINS-I, and the GRADE system.
Understand how to calculate and interpret effect sizes, assess heterogeneity, and create forest plots for meta-analysis.
Get hands-on experience using software such as RevMan, R, Stata, and MetaXL to conduct a meta-analysis, including subgroup and sensitivity analyses.
Learn how to write a clear, structured manuscript using PRISMA guidelines, prepare figures and tables for publication, and navigate the peer review process.
Who this course is for:
- Researchers, medical professionals, students, and anyone interested in evidence-based research who want to learn how to conduct systematic reviews and meta-analyses for academic, clinical, or publication purposes.
Instructor
With many years of experience as an instructor, Dr. Day has demonstrated an unwavering commitment to breaking down barriers in education. His work focuses on democratizing knowledge by developing and distributing high-quality, inclusive learning resources tailored to diverse needs—whether through adaptive technologies, multilingual materials, or innovative teaching frameworks. By prioritizing accessibility, Dr. Day ensures that learners of all backgrounds and abilities can engage with educational content equitably, reflecting his belief that education should be a universal right, not a privilege.