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\name{bladder}
\docType{data}
\alias{bladder}
\alias{bladder1}
\alias{bladder2}
\title{Bladder Cancer Recurrences}
\usage{
bladder1
bladder
bladder2
data(cancer, package="survival")
}
\description{Data on recurrences of bladder cancer, used by many people
to demonstrate methodology for recurrent event modelling.
Bladder1 is the full data set from the study. It contains all three treatment
arms and all recurrences for 118 subjects; the maximum observed number
of recurrences is 9.
Bladder is the data set that appears most commonly in the literature.
It uses only the 85 subjects with nonzero follow-up who were
assigned to either thiotepa or placebo, and only the first four recurrences
for any patient. The status variable is 1 for
recurrence and 0 for everything else (including death for any reason).
The data set is laid out in the competing risks format of the paper by
Wei, Lin, and Weissfeld.
Bladder2 uses the same subset of subjects as bladder, but formatted in the
(start, stop] or Anderson-Gill style.
Note that in transforming from the WLW to the AG style data set there
is a quite common programming mistake that leads to extra follow-up time
for 12 subjects: all those with follow-up beyond their 4th recurrence.
This "follow-up" is a side effect of throwing away all events after the
fourth while retaining the last follow-up time variable from the
original data. The bladder2 data set found here does not make this
mistake, but some analyses in the literature have done so; it results
in the addition of a small amount of immortal time bias and
shrinks the fitted coefficients towards zero.
}
\format{
bladder1
\tabular{ll}{
id:\tab Patient id\cr
treatment:\tab Placebo, pyridoxine (vitamin B6), or thiotepa\cr
number:\tab Initial number of tumours (8=8 or more)\cr
size:\tab Size (cm) of largest initial tumour\cr
recur:\tab Number of recurrences \cr
start,stop:\tab The start and end time of each time interval\cr
status:\tab End of interval code, 0=censored, 1=recurrence, \cr
\tab 2=death from bladder disease, 3=death other/unknown cause\cr
rtumor:\tab Number of tumors found at the time of a recurrence\cr
rsize:\tab Size of largest tumor at a recurrence\cr
enum:\tab Event number (observation number within patient)\cr
}
bladder
\tabular{ll}{
id:\tab Patient id\cr
rx:\tab Treatment 1=placebo 2=thiotepa\cr
number:\tab Initial number of tumours (8=8 or more)\cr
size:\tab size (cm) of largest initial tumour\cr
stop:\tab recurrence or censoring time\cr
enum:\tab which recurrence (up to 4)\cr
}
bladder2
\tabular{ll}{
id:\tab Patient id\cr
rx:\tab Treatment 1=placebo 2=thiotepa\cr
number:\tab Initial number of tumours (8=8 or more)\cr
size:\tab size (cm) of largest initial tumour\cr
start:\tab start of interval (0 or previous recurrence time)\cr
stop:\tab recurrence or censoring time\cr
enum:\tab which recurrence (up to 4)\cr
}
}
\source{
Andrews DF, Hertzberg AM (1985),
DATA: A Collection of Problems from Many Fields for the Student
and Research Worker, New York: Springer-Verlag.
LJ Wei, DY Lin, L Weissfeld (1989),
Regression analysis of multivariate incomplete failure time data by
modeling marginal distributions.
\emph{Journal of the American Statistical Association},
\bold{84}.
}
\keyword{datasets}
\keyword{survival}
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