plot_evpi

Plot the expected value of perfect information (EVPI) from the output of
<code>cea()</code> using <code><a href="https://ggplot2.tidyverse.org/reference/ggplot.html">ggplot2::ggplot</a></code>. Intuitively, the EVPI provides an estimate of the
amount that a decision maker would be willing to pay to collect additional data
and completely eliminate uncertainty.

A modular and computationally efficient R package for
parameterizing, simulating, and analyzing health economic simulation
models. The package supports cohort discrete time state transition models
(Briggs et al. 1998) <doi:10.2165/00019053-199813040-00003>,
N-state partitioned survival models (Glasziou et al. 1990)
<doi:10.1002/sim.4780091106>, and individual-level continuous
time state transition models (Siebert et al. 2012) <doi:10.1016/j.jval.2012.06.014>,
encompassing both Markov (time-homogeneous and time-inhomogeneous) and
semi-Markov processes. Decision uncertainty from a cost-effectiveness analysis is
quantified with standard graphical and tabular summaries of a probabilistic
sensitivity analysis (Claxton et al. 2005, Barton et al. 2008) <doi:10.1002/hec.985>,
<doi:10.1111/j.1524-4733.2008.00358.x>. Use of C++ and data.table
make individual-patient simulation, probabilistic sensitivity analysis,
and incorporation of patient heterogeneity fast.

Devin Incerti

hesim

Health Economic Simulation Modeling and Decision Analysis

Jeroen P. Jansen

Mark Clements

R Core Team 

plot_evpi function

<dl><dt>x</dt>
<dd>A <code>cea</code> object produced by <code>cea()</code>.</dd>
<dt>labels</dt>
<dd>A list of named vectors containing the values and labels of
variables. The elements of each vector are the values of a variable and the
names are the labels. The names of the list are the names of the variables.
See the output returned by <code>get_labels()</code> for an example.</dd></dl>

Arguments

Plot the expected value of perfect information (EVPI) from the output of
<code>cea()</code> using <code><a href='https://ggplot2.tidyverse.org/reference/ggplot.html'>ggplot2::ggplot</a></code>. Intuitively, the EVPI provides an estimate of the
amount that a decision maker would be willing to pay to collect additional data
and completely eliminate uncertainty.

Plot expected value of perfect information — plot_evpi

<dl>

<dt>x</dt>
<dd>A <code>cea</code> object produced by <code>cea()</code>.</dd>


<dt>labels</dt>
<dd>A list of named vectors containing the values and labels of
variables. The elements of each vector are the values of a variable and the
names are the labels. The names of the list are the names of the variables.
See the output returned by <code>get_labels()</code> for an example.</dd>

</dl>

plot_evpi: Plot expected value of perfect information

Description

Usage

Value

Arguments

Details