Incremental Cost-Effectiveness Inference using Two Unbiased Samples
ICEscale() functions compute or print ICE Statistical Inference Summar...
Compute Bootstrap Distribution of ICE Uncertainty for given Shadow Pri...
Equivariant Wedge-Shaped ICE Region with Confidence Level from 0.50 to...
Internal ICEinfer Functions.
Display Economic Preferences for ICE Outcomes within a Bootstrap Confi...
Functions to compute and display ICE Acceptability Curves
Compute Preference Colors for Outcomes within a Bootstrap Confidence W...
Set Parameter Values defining ICE Economic Preference Maps
ICE Statistical Inference and Economic Preference Variation
Compute ICE Economic Preference Scores from Numeric Cost and Effe Meas...
Display Indifference Curves on a standardized ICE Economic Preference ...
Display Scatter for a possibly Transformed Bootstrap Distribution of I...
Summary Statistics for a possibly Transformed Bootstrap Distribution o...
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.