plot_ceac_psa

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

plot_ceac_psa function

<dl><dt>control_markov</dt>
<dd>markov model for control</dd>
<dt>trt_markov</dt>
<dd>markov model for treatment</dd>
<dt>psa_table_ctrl</dt>
<dd>param table for psa for control</dd>
<dt>psa_table_trt</dt>
<dd>param table for psa for treatment</dd>
<dt>thresholds</dt>
<dd>threshold values of WTP</dd>
<dt>num_rep</dt>
<dd>number of repetitions</dd>
<dt>comparator</dt>
<dd>the strategy to be compared with</dd></dl>

Arguments

Function to plot CEAC — plot_ceac_psa

<dl>

<dt>control_markov</dt>
<dd>markov model for control</dd>


<dt>trt_markov</dt>
<dd>markov model for treatment</dd>


<dt>psa_table_ctrl</dt>
<dd>param table for psa for control</dd>


<dt>psa_table_trt</dt>
<dd>param table for psa for treatment</dd>


<dt>thresholds</dt>
<dd>threshold values of WTP</dd>


<dt>num_rep</dt>
<dd>number of repetitions</dd>


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

</dl>

plot_ceac_psa: Function to plot CEAC

Description

Usage

Value

Arguments