Foundations, surveillance & sampling
Lessons 01–02L · 01
Introduction & Causal ConceptsFoundations of epidemiological thinking, causal inference, and the counterfactual framework.
L · 02
Surveillance and SamplingRoutine surveillance systems, outbreak detection and field-epidemiology response, then the sampling strategies, sources of error, and sample-size calculations that let a sample stand in for a population.
Measurement
Lesson 03L · 03
Questionnaire DesignPrinciples of measurement, question construction, and minimizing information bias in surveys.
Measures & tests
Lessons 04–06L · 04
Measures of Disease FrequencyPrevalence, incidence, and mortality rates as tools for quantifying disease occurrence in populations.
L · 05
Screening & Diagnostic TestsSensitivity, specificity, predictive values, and evaluating the accuracy of screening programs.
L · 06
Measures of AssociationRisk ratios, odds ratios, and rate ratios for quantifying exposure–outcome relationships.
Designing against bias
Lesson 07L · 07
Designing Against Bias: Validity and Confounding in Study ProtocolsThe lesson turns the validity concepts taught in HSCI 230 into protocol decisions, quantifying selection bias and misclassification, planning restriction, matching and stratified analysis, and planning a sensitivity analysis for unmeasured confounding.
Time-to-event data
Lesson 08L · 08
Time-to-Event DataStudents define time zero, the event and censoring, compute life tables and Kaplan-Meier estimates by hand, and interpret the hazard ratio, the log-rank comparison and the proportional hazards assumption.