\HeaderA{Mmmec}{Malignant melanoma deaths in Europe}{Mmmec}
\keyword{datasets}{Mmmec}
\begin{Description}\relax
Malignant Melanoma Mortality in the European Community associated with
the impact of UV radiation exposure.
\end{Description}
\begin{Usage}
\begin{verbatim}data(Mmmec)\end{verbatim}
\end{Usage}
\begin{Format}\relax
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.
}
\end{Format}
\begin{Source}\relax
\url{http://multilevel.ioe.ac.uk/softrev/mmmec.html}
\end{Source}
\begin{References}\relax
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.
\end{References}
\begin{Examples}
\begin{ExampleCode}
str(Mmmec)
summary(Mmmec)
(fm1 <- lmer(deaths ~ offset(log(expected)) + uvb + (1|region),
             Mmmec, poisson))
(fm2 <- lmer(deaths ~ offset(log(expected)) + uvb + (1|region),
                 Mmmec, poisson, method = "Laplace")) # change to "AGQ" when available
\end{ExampleCode}
\end{Examples}

