Advanced epidemiology
Advanced epidemiology designs and interprets population studies with attention to selection, measurement error, confounding, temporal relationships and transportability.
Open interactive lesson & self-check ↗Advanced epidemiology — specialty learning map
Original conceptual SVG · scalableOriginal overview diagram showing four related domains. This is not a literal anatomy drawing, histologic image or clinical decision rule.
Target population
Define eligibility, recruitment pathways and the population to which findings may reasonably generalize.
Causal structure
Use subject-matter knowledge to identify plausible confounders, mediators and colliders; indiscriminate adjustment can introduce bias.
Effect estimation
Risk differences, risk ratios, odds ratios and hazard ratios answer different questions and may not be interchangeable.
Sensitivity analysis
Examine missing data, misclassification, unmeasured confounding and alternative analytic choices before making broad causal claims.
Reference and next reading
Explore the original curriculum and publisher-hosted resources for full-depth reading; this note is an original schematic introduction, not an exhaustive chapter.