cervical


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.


datasets

Bayesian variable selection for regression models of under-reported
count data as well as for (overdispersed) Poisson, negative binomal and
binomial logit regression models using spike and slab priors.

Michaela Dvorzak

pogit

Bayesian Variable Selection for a Poisson-Logistic Model

cervical function

A data frame with 16 rows and 19 variables: 
<dl>
 <dt><code>y</code></dt><dd>number of cervical cancer deaths for different age categories
 and European countries between 1969-1973</dd> <dt><code>E</code></dt><dd>number of woman-years at risk (given in thousands)</dd> <dt><code>country</code></dt><dd>factor variable of European countries</dd> <dt><code>agegroup</code></dt><dd>factor variable of age categories</dd> <dt><code>X.1</code>, <code>X.2</code>, <code>X.3</code></dt><dd>predictor variables for country effects
 using dummy coding (i.e. England, France, Italy)</dd> <dt><code>X.4</code>, <code>X.5</code>, <code>X.6</code></dt><dd>predictor variables for age effects
 using dummy coding (i.e. 35-44, 45-54, 55-64, in years)</dd> <dt><code>X.7</code>, <code>X.8</code>, <code>X.9</code>, <code>X.10</code>, <code>X.11</code>, <code>X.12</code>, <code>X.13</code>, <code>X.14</code>, <code>X.15</code></dt><dd>predictor
 variables for interaction effects of age and country</dd> </dl>

Format

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.

cervical: Cervical cancer data

Description

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See Also