4-MINUTE INTRODUCTION TO META-ANALYSIS | BEGINNER FRIENDLY VIDEO
Автор: Meta-Analysis Academy
Загружено: 2026-02-27
Просмотров: 230
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Learn more about the Meta-Analysis Academy: https://research.metaanalysisacademy....
Meta-analysis is one of the most powerful tools in medical research — but it doesn’t have to be complicated.
In this 4-minute beginner-friendly introduction, you’ll understand what a meta-analysis is, how it works, and why it sits at the top of the evidence hierarchy. We break down the core concepts in a simple, intuitive way so you can finally understand forest plots, pooled effects, and why combining studies changes the strength of evidence.
If you’re a medical student, physician, or researcher who wants to publish high-impact research, this is your starting point.
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What is the Meta-Analysis Academy? Get to know the program that can help you to learn how to publish with high-impact, completely from scratch.
Our mission is two-fold: (1) to provide doctors and medical students worldwide with the tools to publish high-impact research with autonomy; and (2) to transform the careers of doctors and medical students through the publication of relevant research.
Rhanderson Cardoso, MD is a clinical cardiologist and Assistant Professor of Medicine at Harvard Medical School. He graduated medical school in Brazil and did his training in Cardiology at the Johns Hopkins Hospital. He was also a chief resident at the University of Miami Internal Medicine Residency Program.* Dr. Cardoso has published more than 90 manuscripts in PubMed-indexed journals, with over 2300 citations in the literature, including by international guidelines. In addition, he has taught thousands of students how to conduct impactful research with autonomy to also advance their careers through the Meta-Analysis Academy.
*Important: The Meta-Analysis Academy has no affiliation with the University of Miami, Johns Hopkins Hospital, Brigham and Women’s Hospital, or Harvard Medical School. Opinions are exclusively that of Dr. Rhanderson Cardoso and the team at the Meta-Analysis Academy.
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