glycobrom {DoseFinding} | R Documentation |

## Glycopyrronium Bromide dose-response data

### Description

Data from a clinical study evaluating Efficacy and Safety of Four
Doses of Glycopyrronium Bromide in Patients With Stable Chronic
Obstructive Pulmonary Disease (COPD). This data set was obtained from
clinicaltrials.gov (NCT00501852). The study design was a 4 period
incomplete cross-over design. The primary endpoint is the trough
forced expiratory volume in 1 second (FEV1) following 7 days of
Treatment.

The data given here are summary estimates (least-square means) for
each dose.

### Usage

data(glycobrom)

### Format

A data frame with 5 summary estimates (one per dose). Variables:

`dose`

a numeric vector containing the dose values

`fev1`

a numeric vector containing the least square
mean per dose

`sdev`

a numeric vector containing the standard errors
of the least square means per dose

`n`

Number of participants analyzed per treatment group

### Source

http://clinicaltrials.gov/ct2/show/results/NCT00501852

### Examples

## simulate a full data set with given means and sdv (here we ignore
## the original study was a cross-over design, and simulate a parallel
## group design)
simData <- function(mn, sd, n, doses, fixed = TRUE){
## simulate data with means (mns) and standard deviations (sd), for
## fixed = TRUE, the data set will have observed means and standard
## deviations as given in mns and sd
resp <- numeric(sum(n))
uppind <- cumsum(n)
lowind <- c(0,uppind)+1
for(i in 1:length(n)){
rv <- rnorm(n[i])
if(fixed)
rv <- scale(rv)
resp[lowind[i]:uppind[i]] <- mn[i] + sd[i]*rv
}
data.frame(doses=rep(doses, n), resp=resp)
}
data(glycobrom)
fullDat <- simData(glycobrom$fev1, glycobrom$sdev, glycobrom$n,
glycobrom$dose)

[Package

*DoseFinding* version 1.0-1

Index]