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ICEinfer (version 1.3)

Incremental Cost-Effectiveness Inference using Two Unbiased Samples

Description

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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Version

Install

install.packages('ICEinfer')

Monthly Downloads

334

Version

1.3

License

GPL-2

Homepage

https://www.R-project.org

Maintainer

Bob Obenchain

Last Published

October 12th, 2020

Functions in ICEinfer (1.3)

Compute ICE Economic Preference Scores from Numeric Cost and Effe Measures

ICEscale() functions compute or print ICE Statistical Inference Summary Statistics relative to choice for the numerical value of the Shadow Price of Health, lambda

Set Parameter Values defining ICE Economic Preference Maps

ICEinfer-package

ICE Statistical Inference and Economic Preference Variation

Display Economic Preferences for ICE Outcomes within a Bootstrap Confidence Wedge

Output list object of class ICEuncrt for the High Uncertainty numerical example in the ICEinfer package, data(dulxparx).

Output list object of class ICEwedge for the High Uncertainty example, data(dulxparx)

Data for the High Uncertainty numerical example of Obenchain et al. (2005)

Display Indifference Curves on a standardized ICE Economic Preference Map

Compute Bootstrap Distribution of ICE Uncertainty for given Shadow Price of Health, lambda

Compute Preference Colors for Outcomes within a Bootstrap Confidence Wedge

Functions to compute and display ICE Acceptability Curves

Equivariant Wedge-Shaped ICE Region with Confidence Level from 0.50 to 0.99

Artificial data.frame of 7 characteristics of patients treated for septic shock

Data from a double-blind clinical trial comparing fluoxetine plus pindolol with fluoxetine alone

Cost-Effectiveness data for 1242 MDD patients from Marketscan(SM) claims database

Display Scatter for a possibly Transformed Bootstrap Distribution of ICE Uncertainty

ICEinfer-internal

Internal ICEinfer Functions.

Summary Statistics for a possibly Transformed Bootstrap Distribution of ICE Uncertainty