| compute_ol {BCEA} | R Documentation |
Compute Opportunity Loss
Description
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.
Usage
compute_ol(Ustar, U, best)
Arguments
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) |
Details
In mathematical notation,
\textrm{OL}(\theta) := U^*(\theta) - U(\theta^\tau)
where \tau is the intervention associated with the overall maximum utility
and U^*(\theta) is the maximum utility value among the comparators in the given simulation.
The opportunity loss is a non-negative quantity, since U(\theta^\tau)\leq U^*(\theta).
In all simulations where the intervention is more
cost-effective (i.e. when incremental benefit is positive), then \textrm{OL}(\theta) = 0
as there would be no opportunity loss, if the parameter configuration were the
one obtained in the current simulation.
Value
Array with dimensions (sim x k)