Medical School MD + DO Mastery

A 4-year, board-aligned study system for medical school and licensing exams.

Walk the full Year 1–4 curriculum — foundational sciences, organ-system blocks, clinical clerkships and advanced practice — each with mastery checklists and linked learning resources, plus a dedicated review system for school exams, Shelf/COMAT, USMLE Step 1–3 and COMLEX-USA Levels 1–3.

STATISTICAL INFERENCE + EVIDENCE APPRAISAL

YEAR 1 | PAGE 17B - P-VALUES, CONFIDENCE INTERVALS, POWER, BIAS + CLINICAL EVIDENCE

INTERPRET BEFORE YOU CALCULATE

Move from QUESTION -> ESTIMATE/EFFECT SIZE -> UNCERTAINTY -> VALIDITY -> APPLICABILITY. Statistical significance is not the same as clinical importance, and a p-value is not the probability that the null hypothesis is true.

B. INFERENCE + EBM VIDEOS - CORE + ENRICHMENT

#VideoTimeWhyLink
1.p-values: What They Are and How to Interpret Them - StatQuest~10 minConceptual meaning of the p-value, significance thresholds and why p-values do not tell you effect size or clinical importance.Open →
2.Confidence Intervals, Clearly Explained - StatQuestconcept bridgeUse interval width and null values to judge precision and statistical compatibility; connect CI interpretation to effect estimates.Open →
3.Power Analysis, Clearly Explained - StatQuest~15 minType II error, statistical power and how sample size/effect size/variability change the probability of detecting a true effect.Open →
4.An Introduction to Evidence Based Medicine - Strong MedicineEBM foundationHierarchy of evidence, clinical questions and the role of research evidence within clinical expertise and patient-centered decisions.Open →
5.How to Appraise a Clinical Trial - Part 2 - Strong Medicine~26 minRandomization, controls, blinding, allocation concealment, sample size, endpoints and intention-to-treat vs per-protocol analysis.Open →
6.How to Appraise a Clinical Trial - Part 3 - Strong Medicine~26 minSurrogate/composite endpoints, systematic bias, validity and statistical vs clinical significance; closes the appraisal loop.Open →

B. INFERENCE + EBM VIDEOS - CORE + ENRICHMENT — EVIDENCE INTERPRETATION CHECK

  • Distinguish Type I vs Type II error, power, confidence interval and p-value without substituting one concept for another.
  • Recognize confounding, selection, recall, measurement/observer, lead-time and length-time bias; know which design feature mitigates each.
  • Separate statistical significance from effect size, precision, clinical significance and generalizability.
  • For an RCT or abstract: identify PICO, primary endpoint, randomization/blinding, attrition, analysis population, effect estimate and applicability. VIDEO-FIRST | SCHOOL-EXAM + BOARD-EXAM MASTERY