Chapter 1 — Why Biostatistics Matters at the BedsideChapter 2 — From question to design: RCT vs observationalChapter 3 — Randomization, allocation concealment & blindingChapter 4 — Intention‑to‑treat vs per‑protocolChapter 5 — Types of data & descriptive statisticsChapter 6 — Probability foundations: normal, binomial, PoissonChapter 7 — Confidence intervals & hypothesis testingChapter 8 — Comparing two means: t‑test & alternativesChapter 9 — Comparing two proportions: χ², Fisher’s exact, RR/ORChapter 10 — Survival analysis I: censoring & Kaplan‑MeierChapter 11 — Survival analysis II: Cox proportional hazardsChapter 12 — Regression fundamentals: linear & logisticChapter 13 — Confounding, interaction & model buildingChapter 14 — Diagnostic test metrics: sensitivity, specificity, ROC, LRChapter 15 — Pragmatic trials in the ICUChapter 16 — Putting it together: a step‑by‑step walkthroughChapter 17 — Bayesian thinking for cliniciansChapter 18 — Meta‑analysis & systematic reviews (PRISMA)Master Checklist (apply to every ICU paper you read)
