mmmec: EC data on UV radiation exposure & malignant melanoma.

Description

EC data on UV radiation exposure & malignant melanoma, consisting of 354 counties across 79 regions across 9 nations.

Arguments

Format

A data frame with 354 observations on the following variables:

nation: Nation ID: a factor with levels corresponding to each country.
region: Region (within-nation) ID.
county: County (within-region) ID.
obs: Number of male deaths due to malignant melanoma between 1971 and 1980.
exp: Expected number of deaths - proportional to county population.
cons: Constant (=1).
uvbi: County-level measurement of UV B radiation, centered on the mean.

Source

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.

Details

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).

Examples

Run this code

## 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)