DOS2 (version 0.5.2)

antineoplastic: Biomonitoring of Workers Exposed to Antineoplastic Drugs

Description

Two groups of exposed workers compared to unexposed controls, where exposed workers prepared antineoplasitic drugs, protected either only by gloves or by gloves and a laminar hood with vertical air flow. The outcome is the comet assay applied to blood lymphocytes. The comet assay is a measure of damage to DNA. Data from Kopjar and Garaj-Vrhovac (2001). Illustrates the concept of evidence factors in Chapter 20 of Design of Observational Studies, second edition.

Usage

data("antineoplastic")

Format

A data frame with 59 observations on the following 9 variables.

id

ID number. See Tables I and III of Kopjar and Garaj-Vrhovac (2001).

age

Age in years

str

Three age strata, cut at the thirds of age.

grp

Gloves = exposed nurses/doctors protected only by gloves, Hood = exposed nurses/doctors protected by both gloves and a laminar hood with vertical air flow, Control = students and office workers not exposed to antineoplastic drugs.

tailmoment

Tail moment of the comet assay.

taillength

Tail length of the comet assay mu-m.

z1

1 if exposed, 0 if control

z2

1 if Gloves, 0 if Hood, NA if control

f2

TRUE if in factor 2, FALSE otherwise

Details

The data set is intended to illustrate evidence factors, comparing exposed workers to controls, and workers protected only by gloves to workers with the additional protecting of a laminar hood with vertical air flow..

References

Kopjar, N. and Garaj-Vrhovac, V. (2001) <doi:10.1093/mutage/16.1.71> "Application of the alkaline comet assay in human biomonitoring for genotoxicity: a study on Croation medical personnel handling antineoplastic drugs". Mutagenesis 16, 71-78.

Examples

# NOT RUN {
data(antineoplastic)
attach(antineoplastic)
table(str)
table(grp)
oldpar<-par(mfrow=c(1,2))
boxplot(tailmoment~grp,ylab="Tail Moment",
       main="3 Groups",ylim=c(8,20))
boxplot(tailmoment~z1,names=c("Control","Exposed"),
       main="Factor 1",ylab="Tail Moment",ylim=c(8,20))
boxplot(tailmoment[f2]~z2[f2],names=c("Hood","Gloves"),
       ylab="Tail Moment",main="Factor 2",ylim=c(8,20))
y<-senstrat::hodgeslehmann(tailmoment,z1,str)
# First factor
senstrat::senstrat(y,z1,str,gamma=20)
# Second factor
senstrat::senstrat(y[f2],z2[f2],str[f2],gamma=2.75)
detach(antineoplastic)
par(oldpar)
# }