Statistical Education

Mini lessons on key statistical topics

Each lesson is a self-contained HTML guide with explanations, code, and examples. New lessons are added over time. Topics use the trcpetc R package where relevant.

Time-to-Event: The Kaplan–Meier Estimator

How the Kaplan–Meier calculation works and how the survival curve is built. Covers the survival function S(t), step functions, and at-risk sets.

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Understanding the P-Value

What the p-value means, when it's small vs large, and how it connects to the null hypothesis and 95% confidence intervals.

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Bootstrapping

Use cases, how it works, and types of bootstrap. Resampling-based inference without strong distributional assumptions.

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