The ABC of HTA course
Interactive HTA learning — from fundamentals to practice.
0 / 26 lessons completed
Clear all progress?
M0
Orientation
A first map of the field — how medicine, statistics, and economics meet in an HTA decision.
M1
What HTA is and why it exists
The decision problem, stakeholders, and where HTA sits in the system.
M2
The evidence
Study designs, the evidence hierarchy, bias, confounding, and how to judge what a trial can and can't prove.
M3
Biostatistics — reading the numbers
Variation, uncertainty, confidence intervals, p-values, and how to read the numbers a trial reports.
- Variation & Uncertainty — Why a Single Number Lies→
- Distributions & the Normal Curve — Why the Bell Appears→
- The Standard Error — How Far Off Is Your Average?→
- The p-value — What It Really Means (and Doesn't)→
- Confidence Intervals — The Honest Answer→
- Significance, power & the traps→
- Multiplicity & p-hacking→
- Measures of effect: RR, OR, RD, NNT→
- Relative vs absolute — the communication trap→
- Odds, odds ratios & when OR misleads→
- Survival analysis: Kaplan-Meier, censoring→
- Hazard ratios & what they hide→
- Diagnostic tests: sensitivity, specificity, PPV/NPV, ROC, LR→
M4
Evidence synthesis
Systematic reviews, meta-analyses, and how to tell a rigorous evidence summary from a curated one.
M7
Cost-effectiveness and the ICER
The CE plane, the ICER, the WTP threshold, net benefit.
- The cost-effectiveness plane→
- The ICER — calculation and interpretationsoon