ICEinfer - Incremental Cost-Effectiveness Inference using Two Unbiased
Samples
Given two unbiased samples of patient level data on cost
and effectiveness for a pair of treatments, make head-to-head
treatment comparisons by (i) generating the bivariate bootstrap
resampling distribution of ICE uncertainty for a specified
value of the shadow price of health, lambda, (ii) form the
wedge-shaped ICE confidence region with specified confidence
fraction within [0.50, 0.99] that is equivariant with respect
to changes in lambda, (iii) color the bootstrap outcomes within
the above confidence wedge with economic preferences from an
ICE map with specified values of lambda, beta and gamma
parameters, (iv) display VAGR and ALICE acceptability curves,
and (v) illustrate variation in ICE preferences by displaying
potentially non-linear indifference(iso-preference) curves from
an ICE map with specified values of lambda, beta and either
gamma or eta parameters.