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Los Simpsons
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Simpsons
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linkedin.com
Simpson s Paradox: When Better Doctors Look Worse | Mirko von Hein
A surgeon is better at treating high-risk patients 𝑨𝑵𝑫 better at treating low-risk patients... but somehow has a worse overall record. 👨⚕️👩⚕️ How is this even possible? 🤔 This is 𝗦𝗶𝗺𝗽𝘀𝗼𝗻'𝘀 𝗣𝗮𝗿𝗮𝗱𝗼𝘅—and it might well be hiding in your data right now. ⚠️ The ...
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3 months ago
Simpsons Paradox Explained
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The Simpson’s Paradox can completely flip your data analysis results. You might see a negative relationship overall, but once you split the data into groups, it turns positive. What’s going on? Confounder variables. These hidden factors affect both your input and your target variable, distorting the overall picture. So before trusting your results, always check for confounders. I have recently released a new module about the Simpson's Paradox in the Statistics Globe Hub: https://statisticsglobe.
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Simpson’s Paradox is a fascinating statistical phenomenon where the relationship between two variables can completely change when a third variable is considered. This often leads to contradictory conclusions if not carefully analyzed.For example, in a data set, you might see a negative trend between variables X and Y. However, when you split the data into subgroups based on a third variable, Z, the trend might reverse or disappear.Key takeaways:✔️ Always consider potential lurking variables that
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