bda (version 16.1.3)

bootPRO: Effectiveness Evaluation based on PROs with bootstrapping method

Description

Effectiveness Evaluation based on PROs with bootstrapping method.

Usage

bootPRO(x,type="relative",MCID,iter=999,conf.level=0.95)

Value

NONE.

Arguments

x

Data frame of repeated PRO measures. First column gives the treatment groups: 'group' or 'treat'; Repeated measures listed after column 1.

type

use absolute changes ("absolute") or relative (percent) changes ("relative").

MCID

A positive value to define responders.

iter

number of iterations used by the bootstrap algorithm.

conf.level

Confidence level of the bootstrapping confidence interval.

References

To be updated.

Examples

  data(Pain)
  x <- pain[,c(2,3:9,11:17)]
  grp <- rep("treat",nrow(x))
  grp[x[,1]==0] <- "control"
  x[,1] <- grp
  #bootPRO(x,type='mean')
  #bootPRO(x,type='mean',MCID=1)
  #bootPRO(x,type='mean',MCID=1.5)
  #bootPRO(x,type='mean',MCID=2)

  #bootPRO(x,type='rel')
  #bootPRO(x,type='relative',MCID=.2)
  #bootPRO(x,type='relative',MCID=.3)
  ##bootPRO(x,type='relative',MCID=.5)