cervical: Cervical cancer data

In airbornemint/pogit: Bayesian Variable Selection for a Poisson-Logistic Model

Description

The data set contains the number of cervical cancer deaths (ICD 180) and woman-years at risk for four age groups in four different European countries during 1969-1973.

Usage

data(cervical)

Format

A data frame with 16 rows and 19 variables:

y

number of cervical cancer deaths for different age categories and European countries between 1969-1973

E

number of woman-years at risk (given in thousands)

country

factor variable of European countries

agegroup

factor variable of age categories

X.1, X.2, X.3

predictor variables for country effects using dummy coding (i.e. England, France, Italy)

X.4, X.5, X.6

predictor variables for age effects using dummy coding (i.e. 35-44, 45-54, 55-64, in years)

X.7, X.8, X.9, X.10, X.11, X.12, X.13, X.14, X.15

predictor variables for interaction effects of age and country

Note

The lowest age category (25-34) in Belgium is used as the reference category.

Source

World Health Organization (1976). World Health Statistics Annual: 1969-1976, Vol. I, Vital Statistics and Causes of Death. Geneva: WHO.

Whittemore, A. S. and Gong, G. (1991). Poisson regression with missclassified counts: Application to cervical cancer mortality rates. Applied Statistics, 40, 81-93.

See Also

cervical_validation, pogitBvs

airbornemint/pogit documentation built on May 31, 2019, 1:49 a.m.