who_mortality

get_who_mr

Returns age and sex-specific mortality probabilities for
a given region

An implementation of the modelling and reporting features described
in reference textbook and guidelines (Briggs, Andrew, et al. Decision
Modelling for Health Economic Evaluation. Oxford Univ. Press, 2011;
Siebert, U. et al. State-Transition Modeling. Medical Decision Making
32, 690-700 (2012).): deterministic and probabilistic sensitivity analysis,
heterogeneity analysis, time dependency on state-time and model-time
(semi-Markov and non-homogeneous Markov models), etc.

Kevin Zarca

heemod

Markov Models for Health Economic Evaluations

Antoine Filipovic-Pierucci

Matthew Wiener

Zdenek Kabat

Vojtech Filipec

Jordan Amdahl

Yonatan Carranza Alarcon

Vince Daniels

who_mortality function

<dl><dt>age</dt>
<dd>age as a continuous variable.</dd>
<dt>sex</dt>
<dd>sex as <code>"FMLE"</code>-<code>"MLE"</code>, <code>0</code>-<code>1</code> (male = 0,
female = 1) or <code>1</code>-<code>2</code> (male = 1, female = 2).</dd>
<dt>region</dt>
<dd>Region code.</dd>
<dt>year</dt>
<dd>Use data from that year. Defaults to
<code>"latest"</code>.</dd></dl>

Arguments

Use WHO Mortality Rate — who_mortality

<dl>

<dt>age</dt>
<dd>age as a continuous variable.</dd>


<dt>sex</dt>
<dd>sex as <code>"FMLE"</code>-<code>"MLE"</code>, <code>0</code>-<code>1</code> (male = 0,
female = 1) or <code>1</code>-<code>2</code> (male = 1, female = 2).</dd>


<dt>region</dt>
<dd>Region code.</dd>


<dt>year</dt>
<dd>Use data from that year. Defaults to
<code>"latest"</code>.</dd>

</dl>

Use WHO Mortality Rate

who_mortality: Use WHO Mortality Rate

Description

Usage

Value

Arguments

Details

Examples