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The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...
eLife

Determining fragility and robustness to missing data in binary outcome meta-analyses, illustrated with conflicting associations between vitamin D and cancer mortality

This manuscript makes a valuable contribution to the concept of fragility of meta-analyses via the so-called 'ellipse of insignificance for meta-analyses' (EOIMETA). The strength of evidence is solid, ...

Why Investors Should Be Cautious: Confident Analysts Often Miss the Mark

Wall Street analysts have missed S&P 500 targets in 13 of 16 years by 10% on average. Learn why confident forecasts often fail and what smart investors do instead.
How-To Geek on MSN

You are testing your PC performance wrong—here is the right way

T here are two ways to measure the performance of PC components: synthetic benchmarks like 3DMark or PCMark, and real-world ...

Raptors’ ceiling keeps rising with healthy Scottie Barnes-Brandon Ingram duo

What fans of the Raptors must always keep in mind is that success will hinge on the play of Scottie Barnes. The Raptors haven ...
WHYY

Can teachers spot AI writing? Penn researchers weigh in

The widespread use of AI has sparked a dilemma for teachers and professors. How do you tell the difference between assignments written by students, and those written by a bot?