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

Description

dpunc is the output list object of class ICEuncrt resulting from the following time consuming computation: dpunc <- ICEuncrt(dulxparx, dulx, idb, ru, lambda=0.26)

Usage

data(dpunc)

Format

Output list object of class ICEuncrt.

df

Saved value of the name of the data.frame input to ICEuncrt.

lambda

Saved positive value of lambda input to ICEuncrt.

unit

Saved value of unit, cost or effe, input to ICEuncrt.

R

Saved integer value for number of bootstrap replications input to ICEuncrt.

trtm

Saved name of the treatment indicator within the df data.frame.

xeffe

Saved name of the treatment effectiveness variable within the df data.frame.

ycost

Saved name of the treatment cost variable within the df data.frame.

effcst

Saved value of the sorted 3-variable (trtm,effe,cost) data.frame.

t1

Observed value of (DeltaEffe, DeltaCost) when each patient is included exactly once.

t

R x 2 matrix of values of (DeltaEffe, DeltaCost) computed from bootstrap resamples.

seed

Saved value of the seed used to start pseudo random number generation.

References

Obenchain RL. ICEinR.pdf Vignette-like documentation for ICEinfer stored in the R library/ICEinfer/doc folder. 2009; 30 pages.

Examples

    # Intermediate ICEinfer Output List for the dulxparx dataset...
    data(dpunc)
    plot(dpunc)

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(ICEinfer)
Loading required package: lattice
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/ICEinfer/dpunc.Rd_%03d_medium.png", width=480, height=480)
> ### Name: dpunc
> ### Title: Output list object of class ICEuncrt for the High Uncertainty
> ###   numerical example in the ICEinfer package, data(dulxparx).
> ### Aliases: dpunc
> ### Keywords: datasets
> 
> ### ** Examples
> 
>     # Intermediate ICEinfer Output List for the dulxparx dataset...
>     data(dpunc)
>     plot(dpunc)

Incremental Cost-Effectiveness (ICE) Bivariate Bootstrap Uncertainty

Shadow Price = Lambda = 0.26
Bootstrap Replications, R = 25000
Effectiveness variable Name = idb
     Cost     variable Name = ru
  Treatment   factor   Name = dulx
New treatment level is = 1 and Standard level is = 0 

Cost and Effe Differences are both expressed in cost units

Observed  Treatment Diff = 1.6
Mean Bootstrap Trtm Diff = 1.576 

Observed Cost Difference = -2.899
Mean Bootstrap Cost Diff = -2.915 

> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>