scotlip: Lip cancer in Scotland 1975 - 1980

In spaMM: Mixed-Effect Models, with or without Spatial Random Effects

Lip cancer in Scotland 1975 - 1980

Description

This data set provides counts of lip cancer diagnoses made in Scottish districts from 1975 to 1980, and additional information relative to these data from Clayton and Kaldor (1987) and Breslow and Clayton (1993). The data set contains (for each district) counts of disease events and estimates of the fraction of the population involved in outdoor industry (agriculture, fishing, and forestry) which exposes it to sunlight.

data("scotlip") actually loads a data frame, scotlip, and an adjacency matrix, Nmatrix, between 56 Scottish districts, as given by Clayton and Kaldor (1987, Table 1).

Usage

data("scotlip")

Format

The data frame includes 56 observations on the following 7 variables:

gridcode

alternative district identifier.

id

numeric district identifier (1 to 56).

district

district name.

cases

number of lip cancer cases diagnosed 1975 - 1980.

population

total person years at risk 1975 - 1980.

prop.ag

percent of the population engaged in outdoor industry.

expec

offsets considered by Breslow and Clayton (1993, Table 6, 'Exp' variable)

The rows are ordered according to gridcode, so that they match the rows of Nmatrix.

References

Clayton D, Kaldor J (1987). Empirical Bayes estimates of age-standardized relative risks for use in disease mapping. Biometrics, 43: 671 - 681.

Breslow, NE, Clayton, DG. (1993). Approximate Inference in Generalized Linear Mixed Models. Journal of the American Statistical Association: 88 9-25.

Examples

data("scotlip")
fitme(cases~I(log(expec)), data=scotlip, adjMatrix=Nmatrix, family=poisson)

## see 'help(autoregressive)' for additional examples involving 'scotlip'.

spaMM documentation built on June 22, 2024, 9:48 a.m.