Cost-effectiveness analysis rendered in real 3D: X = incremental QALYs, Z = incremental cost, Y = Net Monetary Benefit (the genuine third dimension β not a flat plane).
π PSA Cloud
π CEAC Tube
QALYs Gained
β
Incr. Cost
β
ICER ($/QALY)
β
P(Cost-Eff.)
β
Willingness-to-Pay ($/QALY)$50,000
Incremental QALY Gain1.20
Incremental Cost ($)$45,000
Cost-effective draw (NMB > 0, above plane)
Not cost-effective (NMB < 0, below plane)
Base-case point & NMB stem
WTP decision plane (NMB = 0)
CEAC tube: P(cost-effective) vs WTP
Current WTP marker on the curve
50% acceptability plane
260 Monte-Carlo draws resample cost & QALY around your sliders (joint uncertainty), exactly as in probabilistic sensitivity analysis (PSA). Each point's height is its own Net Monetary Benefit = WTPΒ·ΞQALY β ΞCost β a real computed value, not decoration.
The tube traces P(cost-effective) = 1/(1+e^(βNMB/spread)) across willingness-to-pay from $0 to $200,000/QALY β the same logistic PSA-probability formula used in Stage A, swept over Ξ» to build the acceptability curve.
Drag β rotate Β· Scroll β zoom Β· Sliders β recompute the real cost-effectiveness model