ICEinfer: Incremental Cost-Effectiveness (ICE) Statistical Inference from Two Unbiased Samples
Version 1.0-1

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 gamma or eta parameters.

Package details

AuthorBob Obenchain <>
Date of publication2014-01-14 07:14:06
MaintainerBob Obenchain <>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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ICEinfer documentation built on May 29, 2017, 3:26 p.m.