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biostatistics

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Statistical methods for biology and medicine — study design, hypothesis testing, regression, and survival analysis.

skills/biostatistics/SKILL.md

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## Overview

biostatistics is the application of statistical reasoning to biological and medical data. It covers
study design (how to collect data that can answer the question), inference (hypothesis tests and
confidence intervals that respect the data's structure), and modeling (regression, mixed models,
survival analysis) for messy, real-world biomedical datasets with missing values, confounding, and
small samples.

The emphasis is on correct application, not mathematical derivation: choosing the right test for the
data type, checking assumptions, handling multiplicity, and reporting effect sizes with uncertainty —
the things that separate a defensible analysis from a p-value lottery.

## When to use