Understanding Medical Research: Interpret Studies Critically
Learn to critically analyze medical studies and differentiate between good and bad science in health research.
Learn to critically analyze medical studies and differentiate between good and bad science in health research.
This course equips learners with the skills to critically interpret medical studies and distinguish between credible and misleading health information. It covers research methods, study design, statistical interpretation, and common pitfalls in medical research. Topics include types of studies, basic statistics, causality, bias, and how to spot errors in methodology. The course uses real-world case studies and addresses current issues like the replication crisis in science. Designed for both healthcare professionals and general public, it aims to empower individuals to make informed decisions about health-related claims, especially those encountered in media and social networks.
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English
پښتو, বাংলা, اردو, 3 more
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What you'll learn
Efficiently read and interpret medical research papers
Differentiate between good and bad scientific methodologies in health research
Understand various types of medical studies and their strengths and weaknesses
Interpret statistical data, figures, and graphs in medical literature
Identify common errors and biases in research methodology and interpretation
Critically evaluate health claims made in news articles and social media
Skills you'll gain
This course includes:
8.4 Hours PreRecorded video
6 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 7 modules in this course
This course provides a comprehensive introduction to understanding and critically analyzing medical research. It begins with an overview of how research works and the structure of medical manuscripts. The curriculum then delves into medical statistics, covering key concepts like types of data, sampling, p-values, and relative vs. absolute risk. Students learn about various types of medical studies, including randomized controlled trials, cohort studies, and meta-analyses. The course addresses how wrong conclusions can be reached in research, exploring issues like causality, confounding, and fraud. A significant portion is dedicated to understanding different types of bias in medical studies and how to identify them. The final module covers methods for improving medical studies, such as adjustment and propensity scoring. Throughout the course, real-world examples and case studies are used to illustrate concepts, including current topics like COVID-19 research.
Welcome!
Module 1 · 35 Minutes to complete
The Basics
Module 2 · 2 Hours to complete
Medical Statistics Made Ridiculously Simple
Module 3 · 3 Hours to complete
Types of Medical Studies
Module 4 · 3 Hours to complete
How Wrong Conclusions Are Reached
Module 5 · 3 Hours to complete
Bias
Module 6 · 2 Hours to complete
Fixing the Problems with Medical Studies
Module 7 · 2 Hours to complete
Fee Structure
Payment options
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Instructor
Associate Professor of Medicine
Dr. Wilson, originally from Connecticut, graduated with honors in biochemistry from Harvard and earned his medical degree from Columbia. After completing his training at the University of Pennsylvania, he received a Master’s in Clinical Epidemiology in 2012. Since joining Yale in 2014, his research focuses on using patient data and advanced analytics to personalize medicine. An accomplished science communicator, his work has been featured on NPR, Medscape, the Milwaukee Journal Sentinel, and the Huffington Post.
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Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.