compute_ICER

Produces an economic evaluation of a sample of suitable variables of
cost and effectiveness / utility for two or more interventions,
e.g. from a Bayesian model in the form of MCMC simulations.
This package computes the most cost-effective alternative and
produces graphical summaries and probabilistic sensitivity analysis,
see Baio et al (2017) <doi:10.1007/978-3-319-55718-2>.

Gianluca Baio

BCEA

Bayesian Cost Effectiveness Analysis

Andrea Berardi

Anna Heath

Nathan Green

compute_ICER function

<dl><dt>df_ce</dt>
<dd>Cost-effectiveness dataframe</dd></dl>

Arguments

Compute Incremental Cost-Effectiveness Ratio — compute_ICER

<dl>

<dt>df_ce</dt>
<dd>Cost-effectiveness dataframe</dd>

</dl>

compute_ICER: Compute Incremental Cost-Effectiveness Ratio

Description

Usage

Value

Arguments

Details