Data from a clinical study of three sets of extracorporeal circulation in heart-lung machines

Description

Three sets of extracorporeal circulation in heart-lung machines: treatments H and B, and standard S. Twelve (S and H each) and eleven (B) male adult patients have been considered. The analysis is based on a set of laboratory parameters restricted to the blood coagulation system, characterized by three primary endpoints (each as quotient from post- and pre-surgery values). Higher values indicate a better treatment effect. For more details, see Kropf et al. (2000).

Usage

data(coagulation)

Format

A data frame with 35 observations on the following 5 variables.

Patient

a numeric vector, the patients' number

Thromb.count

a numeric vector

ADP

a numeric vector

TRAP

a numeric vector

Group

a factor with levels B, H, S specifying the treatments, where S is the standard

Source

Kropf, S. et al. (2000): Multiple comparisons of treatments with stable multivariate tests in a two-stage adaptive design, including a test for non-inferiority. Biometrical Journal 42, 951-965.

References

Hasler, M. and Hothorn, L.A. (2011): A Dunnett-type procedure for multiple endpoints. The International Journal of Biostatistics 7, Article 3.

Examples

data(coagulation)
str(coagulation)

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)

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> library(SimComp)
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/SimComp/coagulation.Rd_%03d_medium.png", width=480, height=480)
> ### Name: coagulation
> ### Title: Data from a clinical study of three sets of extracorporeal
> ###   circulation in heart-lung machines
> ### Aliases: coagulation
> ### Keywords: datasets
> 
> ### ** Examples
> 
> data(coagulation)
> str(coagulation)
'data.frame':	35 obs. of  5 variables:
 $ Patient     : num  7 8 9 10 11 12 19 20 21 22 ...
 $ Thromb.count: num  1.046 0.851 1.234 1.244 0.887 ...
 $ ADP         : num  0.978 0.899 1.11 1.243 0.913 ...
 $ TRAP        : num  1.374 0.432 0.58 0.793 0.567 ...
 $ Group       : Factor w/ 3 levels "B","H","S": 1 2 2 1 1 3 3 2 3 2 ...
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>