ICEinfer: Incremental Cost-Effectiveness (ICE) Statistical Inference from 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 gamma or eta parameters.

Version: 1.0-1
Depends: R (≥ 2.5.0), lattice
Published: 2014-01-14
Author: Bob Obenchain
Maintainer: Bob Obenchain <wizbob at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: ICEinfer results


Reference manual: ICEinfer.pdf
Package source: ICEinfer_1.0-1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: ICEinfer_1.0-1.tgz
OS X Mavericks binaries: r-oldrel: ICEinfer_1.0-1.tgz
Old sources: ICEinfer archive


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