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Statistics lessons

Illustrated explainers built from the ground up: what each idea is, how it is constructed step by step, and the one sentence that makes it stick. Medical biostatistics first, plus the broader methods it leans on.

Monte Carlo simulation, explained from first principles

Monte Carlo · the square-root law · seeds & reproducibility

A four-part guide to the method behind option pricing, A/B tests and clinical trial design. What the engine is, how it differs from the bootstrap and MCMC, and where it lives - then the parts build it from pi upwards, with playgrounds and a notebook you can run.

ROC and AUC, explained for clinicians

ROC curve · AUC · the sensitivity–specificity trade-off

What the ROC curve is, how it is built cell by cell, and the one sentence that makes AUC stick: the chance a random sick patient outscores a random healthy one. From ranking patients by score to reading the area.