ICEinfer (1.1)
Incremental Cost-Effectiveness Inference using Two Unbiased Samples.
https://www.R-project.org
http://localcontrolstatistics.org
http://cran.r-project.org/web/packages/ICEinfer
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.
Maintainer:
Bob Obenchain
Author(s): Bob Obenchain
License: GPL
Uses: lattice
Released over 1 year ago.
5 previous versions
- ICEinfer_1.0-4. Released over 1 year ago.
- ICEinfer_1.0-1. Released almost 6 years ago.
- ICEinfer_1.0-0. Released almost 8 years ago.
- ICEinfer_0.2-0. Released almost 11 years ago.
- ICEinfer_0.1-1. Released over 12 years ago.
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