onc3

Simulated 3-state dataset in oncology with three health states
(Stable, Progression, and Death) and three possible transitions (Stable -&gt;
Progression, Stable -&gt; Death, and Progression -&gt; Death).

datasets

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 

onc3 function

A <code>data.table</code> with the following columns:<dl>
<dt>from</dt>
<dd>Health state making a transition from.</dd><dt>to</dt>
<dd>Health state making a transition to.</dd><dt>strategy_name</dt>
<dd>Standard of care (SOC), new treatment 1 (New 1), or
new treatment 2 (New 2).</dd><dt>female</dt>
<dd>1 if a patient is female; 0 if male.</dd><dt>age</dt>
<dd>Patient age (in years).</dd><dt>patient_id</dt>
<dd>Patient identification number.</dd><dt>time_start</dt>
<dd>Starting time.</dd><dt>time_stop</dt>
<dd>Stopping time.</dd><dt>status</dt>
<dd>Status indicator: 1=transition, 0=censored.</dd><dt>transition_id</dt>
<dd>Integer denoting transition: 1 = Stable -&gt; Progression,
2 = Stable -&gt; Death, 3 = Progression -&gt; Death.</dd><dt>strategy_id</dt>
<dd>Strategy identification number.</dd><dt>time</dt>
<dd>Elapsed years between <code>time_start</code> and <code>time_stop</code>.</dd>
</dl>

Format

Multi-state oncology data for 3-state model — onc3

A <code>data.table</code> with the following columns:<dl>
<dt>from</dt>
<dd>Health state making a transition from.</dd>

<dt>to</dt>
<dd>Health state making a transition to.</dd>

<dt>strategy_name</dt>
<dd>Standard of care (SOC), new treatment 1 (New 1), or
new treatment 2 (New 2).</dd>

<dt>female</dt>
<dd>1 if a patient is female; 0 if male.</dd>

<dt>age</dt>
<dd>Patient age (in years).</dd>

<dt>patient_id</dt>
<dd>Patient identification number.</dd>

<dt>time_start</dt>
<dd>Starting time.</dd>

<dt>time_stop</dt>
<dd>Stopping time.</dd>

<dt>status</dt>
<dd>Status indicator: 1=transition, 0=censored.</dd>

<dt>transition_id</dt>
<dd>Integer denoting transition: 1 = Stable -&gt; Progression,
2 = Stable -&gt; Death, 3 = Progression -&gt; Death.</dd>

<dt>strategy_id</dt>
<dd>Strategy identification number.</dd>

<dt>time</dt>
<dd>Elapsed years between <code>time_start</code> and <code>time_stop</code>.</dd>


</dl>

onc3: Multi-state oncology data for 3-state model

Description

Usage

Arguments

Format

See Also

Examples