define_dsa

define_dsa_

Define parameter variations for a Markov model
sensitivity analysis.

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

define_dsa function

<dl><dt>...</dt>
<dd>A list of parameter names and min/max values
of the form <code>var1, min(var1), max(var1), var2,
 min(var2), max(var2), ...</code>.</dd>
<dt>par_names</dt>
<dd>String vector of parameter names.</dd>
<dt>low_dots, high_dots</dt>
<dd>Used to work around
non-standard evaluation.</dd></dl>

Arguments

Define a Sensitivity Analysis — define_dsa

<dl>

<dt>...</dt>
<dd>A list of parameter names and min/max values
of the form <code>var1, min(var1), max(var1), var2,
 min(var2), max(var2), ...</code>.</dd>


<dt>par_names</dt>
<dd>String vector of parameter names.</dd>


<dt>low_dots, high_dots</dt>
<dd>Used to work around
non-standard evaluation.</dd>

</dl>

Define a Sensitivity Analysis

define_dsa: Define a Sensitivity Analysis

Description

Usage

Value

Arguments

Examples