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.
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