cohorts

Number of prostate cancer deaths and midperiod population for nonwhites in the USA by age and period.
 The cohort index \(k\) is related to age and period indices (\(i\) and \(j\), respectively) by \(k = j + I - i\), 
 where \(I = max(i)\) (Holford, 1983, Table 2).

datasets

Provides a set of functions to analyse
overdispersed counts or proportions. Most of the methods are
already available elsewhere but are scattered in different
packages. The proposed functions should be considered as
complements to more sophisticated methods such as generalized
estimating equations (GEE) or generalized linear mixed effect
models (GLMM).

Renaud Lancelot

Analysis of Overdispersed Data

cohorts function

A data frame with 49 observations on the following 4 variables.<dl class="dl-horizontal">
 <dt>period</dt><dd>A factor with levels <code>1935-</code>, <code>1940-</code>, &#8230;, <code>1965-</code>.</dd>
 <dt>age</dt><dd>A factor with levels <code>50-</code>, <code>55-</code>, &#8230;, <code>80-</code>.</dd>
 <dt>y</dt><dd>Numeric: the number of prostate cancer deaths.</dd>
 <dt>n</dt><dd>Numeric: the midperiod population size.</dd>
 </dl>

Format

Age, Period and Cohort Effects for Vital Rates — cohorts

A data frame with 49 observations on the following 4 variables.<dl class='dl-horizontal'>
 <dt>period</dt><dd>A factor with levels <code>1935-</code>, <code>1940-</code>, &#8230;, <code>1965-</code>.</dd>
 <dt>age</dt><dd>A factor with levels <code>50-</code>, <code>55-</code>, &#8230;, <code>80-</code>.</dd>
 <dt>y</dt><dd>Numeric: the number of prostate cancer deaths.</dd>
 <dt>n</dt><dd>Numeric: the midperiod population size.</dd>
 </dl>

cohorts: Age, Period and Cohort Effects for Vital Rates

Description

Usage

Arguments

Format

References