summarize_ce

Summarize costs and quality-adjusted life-years (QALYs) given output simulated
from an economic model. The summary output is used to perform
cost-effectiveness analysis with <code>cea()</code> and <code>cea_pw()</code>.

internal

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 

summarize_ce function

<dl><dt>costs</dt>
<dd>Simulated costs by category (objects of class <code>costs</code>).</dd>
<dt>qalys</dt>
<dd>Simulated QALYs (objects of class <code>qalys</code>).</dd>
<dt>by_grp</dt>
<dd>If <code>TRUE</code>, then costs and QALYs are computed by subgroup. If
<code>FALSE</code>, then costs and QALYs are aggregated across all patients (and subgroups).</dd></dl>

Arguments

Summarize costs and effectiveness — summarize_ce

<dl>

<dt>costs</dt>
<dd>Simulated costs by category (objects of class <code>costs</code>).</dd>


<dt>qalys</dt>
<dd>Simulated QALYs (objects of class <code>qalys</code>).</dd>


<dt>by_grp</dt>
<dd>If <code>TRUE</code>, then costs and QALYs are computed by subgroup. If
<code>FALSE</code>, then costs and QALYs are aggregated across all patients (and subgroups).</dd>

</dl>

summarize_ce: Summarize costs and effectiveness

Description

Usage

Value

Arguments

Details