ewrates


England and Wales mortality rates from lung cancer, nasal cancer,
and all causes 1936 - 1980. The 1936 rates are repeated as 1931 rates in
order to accomodate follow up for the <code><a rd-options="" href="/link/nickel?package=Epi&version=2.0" data-mini-rdoc="Epi::nickel">nickel</a></code> study.


datasets

Functions for demographic and epidemiological analysis in
the Lexis diagram, i.e. register and cohort follow-up data, in
particular representation, manipulation and simulation of multistate
data - the Lexis suite of functions, which includes interfaces to
mstate, etm and cmprsk packages.
Also contains functions for Age-Period-Cohort modeling and a
function for interval censored data and some useful functions for
tabulation and plotting, as well some epidemiological datasets.

Bendix Carstensen

A Package for Statistical Analysis in Epidemiology

ewrates function

A data frame with 150 observations on the following 5 variables:
<table><tr><td>
<code>id</code>: </td>
</tr><tr><td> Subject identifier (numeric) </td>
</tr><tr><td>
    <code>year</code>  </td>
</tr><tr><td> Calendar period, 1931: 1931--35, 1936: 1936--40,
    ... </td>
</tr><tr><td>
    <code>age</code>   </td>
</tr><tr><td> Age class: 10: 10--14, 15:15--19, ...  </td>
</tr><tr><td>
    <code>lung</code>  </td>
</tr><tr><td> Lung cancer mortality rate per 1,000,000 py. </td>
</tr><tr><td>
    <code>nasal</code> </td>
</tr><tr><td> Nasal cancer mortality rate per 1,000,000 py. </td>
</tr></table>

Format

From Breslow and Day, Vol II, Appendix IX.

State of Data and AI Literacy Report 2025

ewrates: Rates of lung and nasal cancer mortality, and total mortality.

Description

Usage

Arguments

Format

Source

Examples