Rodent bronchial carcinoma data

Description

In a long term rodent carcinogenicity study on female B6C3F1 mice, the effect of vinylcyclohexene diepoxide on the incidence of murine alveolar/bronchiolar tumors was assessed. The mice were exposed to 0 mg/ml, (group 0), 25 mg/ml (group 1), 50 mg/ml (group 2), and 100 (group 3) mg/ml, with 50 animals per group.

Usage

data(bronch)

Format

A data frame with 200 observations on the following 3 variables.

group

a factor with levels 0, 1, 2, 3, labelling the control and the three dose groups

Y

a logical vector, indicating whether a tumour was present at time of death (if TRUE), or not (if FALSE)

time

a numeric vector, the time of death, counted in days? from begin of the study

Details

Not yet checked for consistency with the source!

Source

Piegorsch WW and Bailer AJ (1997): Statistics for environmental biology and toxicology. Chapman and Hall, London. Table 6.5, page 238.

References

Portier cJ and Bailer AJ (1989): Testing for increased carcinogenicity using survival-adjusted quantal response tests. Fundamental and Applied Toxicology 12, 731.

Examples

data(bronch)
# raw tumour counts:

table(bronch[c("group","Y")])

# groupwise times of death:

boxplot(time ~ group, data=bronch, horizontal=TRUE)

# Using poly3estf, we can produce the
# summary statistics as presented in 
# Table 6.6, page 239, of Piegorsch and Bailer (1997):

poly3estf(status=bronch$Y, time=bronch$time, f=bronch$group)

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(MCPAN)
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/MCPAN/bronch.Rd_%03d_medium.png", width=480, height=480)
> ### Name: bronch
> ### Title: Rodent bronchial carcinoma data
> ### Aliases: bronch
> ### Keywords: datasets
> 
> ### ** Examples
> 
> data(bronch)
> # raw tumour counts:
> 
> table(bronch[c("group","Y")])
     Y
group FALSE TRUE
    0    46    4
    1    41    9
    2    39   11
    3    43    7
> 
> # groupwise times of death:
> 
> boxplot(time ~ group, data=bronch, horizontal=TRUE)
> 
> # Using poly3estf, we can produce the
> # summary statistics as presented in 
> # Table 6.6, page 239, of Piegorsch and Bailer (1997):
> 
> poly3estf(status=bronch$Y, time=bronch$time, f=bronch$group)
Raw and poly-3-adjusted sample estimates:
                        0       1       2       3
x                  4.0000  9.0000 11.0000  7.0000
n                 50.0000 50.0000 50.0000 50.0000
adjusted n        41.8368 40.9661 38.4904 22.8135
adjusted estimate  0.0956  0.2197  0.2858  0.3068
  
> 
> 
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>