rates_mdd

<p>Data used to construct transition rates from @lepe2024</p>

datasets

This toolkit allows performing continuous-time microsimulation for a wide range of life science (demography, social sciences, epidemiology) applications. Individual life-courses are specified by a continuous-time multi-state model as described in Zinn (2014) <doi:10.34196/IJM.00105>.

Sabine Zinn

MicSim

Performing Continuous-Time Microsimulation

Felix von Heusinger

Camila Weber

Claudio Bosco

Maurizio Teobaldell

rates_mdd function


<div class="section" id="rates-mdd">
<h3><code>rates_mdd</code></h3><p></p><p>
</p><p>A data frame with 49 rows and 17 columns:</p><dl>
<dt>age</dt>
<dd><p>Age of individual</p></dd><p></p><p><dt>incidence_lo_m</dt>
<dd><p>Incidence Rates low education men</p></dd></p><p><dt>cf_incidence_lo_f</dt>
<dd><p>Counterfactual Incidence Rate low female</p></dd></p><p>...</p><p></p></dl><p></p><p></p></div>


Format

Rate Data for Simulation of MDD example — rates_mdd


<div class='section' id='rates-mdd'>
<h3><code>rates_mdd</code></h3>


<p>A data frame with 49 rows and 17 columns:</p><dl>
<dt>age</dt>
<dd><p>Age of individual</p></dd>

<dt>incidence_lo_m</dt>
<dd><p>Incidence Rates low education men</p></dd>

<dt>cf_incidence_lo_f</dt>
<dd><p>Counterfactual Incidence Rate low female</p></dd>

...

</dl>

</div>


rates_mdd: Rate Data for Simulation of MDD example

Description

Usage

Arguments

Format

`rates_mdd`