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}(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.

Value

Array with dimensions (sim x k)