bootPRO | R Documentation |

Effectiveness Evaluation based on PROs with bootstrapping method.

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

`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. |

NONE.

To be updated.

```
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)
```

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