compute_ol {BCEA} | R Documentation |
The difference between the maximum utility computed for the current parameter configuration (e.g. at the current simulation) U^* and the current utility of the intervention associated with the maximum utility overall.
compute_ol(Ustar, U, best)
Ustar |
Maximum utility value (sim x k) |
U |
Net monetary benefit (sim x k x interv) |
best |
Best intervention for given willingness-to-pay (k) |
In mathematical notation,
\textrm{OL}(θ) := U^*(θ) - U(θ^τ)
where τ is the intervention associated with the overall maximum utility and U^*(θ) is the maximum utility value among the comparators in the given simulation. The opportunity loss is a non-negative quantity, since U(θ^τ)≤q U^*(θ).
In all simulations where the intervention is more cost-effective (i.e. when incremental benefit is positive), then \textrm{OL}(θ) = 0 as there would be no opportunity loss, if the parameter configuration were the one obtained in the current simulation.
Array with dimensions (sim x k)