checks_plot_dsa

Function to do some checks before plotting sensitivity analysis results

A collection of functions to construct Markov model for model-based
cost-effectiveness analysis. This includes creating Markov model (both time
homogenous and time dependent models), decision analysis, sensitivity
analysis (deterministic and probabilistic). The package allows estimation
of parameters for the Markov model from a given individual patient level
data, provided the data file follows some standard data entry rules.

Sheeja Manchira Krishnan

packDAMipd

Decision Analysis Modelling Package with Parameters Estimation
Ability from Individual Patient Level Data

checks_plot_dsa function

<dl><dt>result_dsa_control</dt>
<dd>result from deterministic sensitivity analysis
for first or control model</dd>
<dt>plotfor</dt>
<dd>the variable to plotfor e.g. cost, utility NMB etc</dd>
<dt>type</dt>
<dd>type of analysis, range or difference</dd>
<dt>result_dsa_treat</dt>
<dd>result from deterministic sensitivity analysis
for the comparative Markov model</dd>
<dt>threshold</dt>
<dd>threshold value of WTP</dd>
<dt>comparator</dt>
<dd>the strategy to be compared with</dd></dl>

Arguments

Function to do some checks before plotting sensitivity analysis results — checks_plot_dsa

<dl>

<dt>result_dsa_control</dt>
<dd>result from deterministic sensitivity analysis
for first or control model</dd>


<dt>plotfor</dt>
<dd>the variable to plotfor e.g. cost, utility NMB etc</dd>


<dt>type</dt>
<dd>type of analysis, range or difference</dd>


<dt>result_dsa_treat</dt>
<dd>result from deterministic sensitivity analysis
for the comparative Markov model</dd>


<dt>threshold</dt>
<dd>threshold value of WTP</dd>


<dt>comparator</dt>
<dd>the strategy to be compared with</dd>

</dl>

checks_plot_dsa: Function to do some checks before plotting sensitivity analysis results

Description

Usage

Value

Arguments