lmdp {R2MLwiN}

Details of deaths from all causes in England and Wales 1972-1992, taken from the local mortality datapack

Description

This dataset records the annual number of deaths in a given district in England and Wales, covering 14 years (1972-1992) across 403 districts. Note that there are only 5639 observations rather than the 5642 that might be expected (403 districts with an observation for each of 14 years); 3 data points were removed because extreme outlying values made them implausible.

Usage

lmdp

Format

A data frame with 5639 observations on the following 8 variables:

county

County (within region) identifier. There are 54 counties, coded from 1 to 68.

district

District (within county) identifier. There are 403 districts, coded 101 to 6820.

region

Region identifier. There are 10 regions, coded 1 to 10.

year

Year, 1979 (79) to 1992 (92).

deaths

Number of deaths observed

expected

Expected number of deaths, based on the 1992 national age- and sex- specific mortality rates.

smr

Standardised mortality ratio (observed deaths / expected deaths * 100).

family

District classification into one of 6 groups as defined by the UK's Office for National Statistics (factor with levels Inner_London (Inner London), Rural (Rural areas), Prospering (Prospering areas) Maturer (Maturer areas), Urban (Urban areas), Mining_industrial (Mining and industrial areas).

Details

The lmdp dataset is one of the example datasets analysed in Leyland and Groenewegen (2020), and provided with the multilevel-modelling software package MLwiN (Charlton et al., 2024).

Source

Charlton, C., Rasbash, J., Browne, W.J., Healy, M. and Cameron, B. (2024) MLwiN Version 3.08 Centre for Multilevel Modelling, University of Bristol.

Leyland, A.H., Groenewegen, P.P. (2020). Multilevel Linear Regression Using MLwiN: Mortality in England and Wales, 1979-1992. In: Multilevel Modelling for Public Health and Health Services Research. Springer, Cham. doi:10.1007/978-3-030-34801-4_11

Examples

## Not run: 

data(lmdp, package = "R2MLwiN") 

# Example taken from Leyland and Groenewegen (2020)

lmdp$ID <- seq(1:nrow(lmdp))

(mod_1 <- runMLwiN(smr ~ 1 + I(year - 79) +
                      (1 | district) + (1 | ID),
                   data = lmdp))

## End(Not run)