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\name{Mmmec}
\alias{Mmmec}
\docType{data}
\title{Malignant melanoma deaths in Europe}
\description{
Malignant Melanoma Mortality in the European Community associated with
the impact of UV radiation exposure.
}
\usage{data(Mmmec)}
\format{
A data frame with 354 observations on the following 6 variables.
\describe{
\item{nation}{a factor with levels \code{Belgium}, \code{W.Germany},
\code{Denmark}, \code{France}, \code{UK}, \code{Italy}, \code{Ireland},
\code{Luxembourg}, and \code{Netherlands}}
\item{region}{Region ID - a factor.}
\item{county}{County ID - a factor.}
\item{deaths}{Number of male deaths due to MM during 1971--1980}
\item{expected}{Number of expected deaths.}
\item{uvb}{Centered measure of the UVB dose reaching the earth's
surface in each county.}
}
}
%\details{}
\source{
\url{http://www.bristol.ac.uk/cmm/learning/mmsoftware/data-rev.html}
}
\references{
Langford, I.H., Bentham, G. and McDonald, A. 1998: Multilevel
modelling of geographically aggregated health data: a case study on
malignant melanoma mortality and UV exposure in the European
community. \emph{Statistics in Medicine} 17: 41-58.
}
\examples{
str(Mmmec)
summary(Mmmec)
(fm1 <- glmer(deaths ~ uvb + (1|region), Mmmec, poisson, offset = log(expected)))
}
\keyword{datasets}
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