mmmec | R Documentation |
EC data on UV radiation exposure & malignant melanoma, consisting of 354 counties across 79 regions across 9 nations.
mmmec
A data frame with 354 observations on the following variables:
Nation ID: a factor with levels corresponding to each country.
Region (within-nation) ID.
County (within-region) ID.
Number of male deaths due to malignant melanoma between 1971 and 1980.
Expected number of deaths - proportional to county population.
Constant (=1).
County-level measurement of UV B radiation, centered on the mean.
The mmmec
dataset is one of the sample datasets provided with the
multilevel-modelling software package MLwiN (Rasbash et al., 2009). Further
information can be found in Langford et al. (1998) and Browne (2012).
Browne, W. J. (2012) MCMC Estimation in MLwiN Version 2.26. University of Bristol: Centre for Multilevel Modelling.
Langford, I. H., Bentham, G., McDonald, A-L. (1998) Multi-level modelling of geographically aggregated health data: a case study on malignant melanoma mortality and UV exposure in the European Community. Statistics in Medicine 17: 41-57.
Rasbash, J., Charlton, C., Browne, W.J., Healy, M. and Cameron, B. (2009) MLwiN Version 2.1. Centre for Multilevel Modelling, University of Bristol.
See mlmRev
package for an alternative format of the same
dataset, with fewer variables.
## Not run:
data(mmmec, package = "R2MLwiN")
(mymodel3 <- runMLwiN(log(obs) ~ 1 + uvbi + offset(log(exp)) + (1 | nation) + (1 | region),
D = "Poisson", estoptions = list(EstM = 1), data = mmmec))
## End(Not run)
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