ICEinfer: Incremental Cost-Effectiveness Inference on Two Unbiased Samples
Version 1.0-4

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.

Package details

AuthorBob Obenchain <[email protected]>
Date of publication2018-03-21 20:24:43 UTC
MaintainerBob Obenchain <[email protected]>
LicenseGPL (>= 2)
Version1.0-4
URL https://www.R-project.org http://localcontrolstatistics.org
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("ICEinfer")

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ICEinfer documentation built on March 22, 2018, 1:03 a.m.