apply_af

Proportionally increase or reduce the time to event of a
survival distribution.

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

apply_af function

<dl><dt>dist</dt>
<dd>A survival distribution.</dd>
<dt>af</dt>
<dd>An acceleration factor to be applied.</dd>
<dt>log_af</dt>
<dd>If <code>TRUE</code>, the acceleration factor is
exponentiated before being applied.</dd></dl>

Arguments

Apply an Acceleration Factor — apply_af

<dl>

<dt>dist</dt>
<dd>A survival distribution.</dd>


<dt>af</dt>
<dd>An acceleration factor to be applied.</dd>


<dt>log_af</dt>
<dd>If <code>TRUE</code>, the acceleration factor is
exponentiated before being applied.</dd>

</dl>

apply_af: Apply an Acceleration Factor

Description

Usage

Value

Arguments

Examples