disprog

An object of class <code>disprog</code> returned from methods
<code>$sim_disease()</code> in model classes. It contains simulated trajectories
through a multi-state model.

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 

disprog function

A <code>disprog</code> object inherits from <code>data.table</code> and contains
the following columns:
<dl>
<dt>sample</dt>
<dd>A random sample from the PSA.</dd><dt>strategy_id</dt>
<dd>The treatment strategy ID.</dd><dt>patient_id</dt>
<dd>The patient ID.</dd><dt>from</dt>
<dd>The health state ID transitioned from.</dd><dt>to</dt>
<dd>The health state ID transitioned to.</dd><dt>final</dt>
<dd>An indicator equal to 1 if a patient is in their final health
state during the simulation and 0 otherwise.</dd><dt>time_start</dt>
<dd>The time at the start of the interval.</dd><dt>time_stop</dt>
<dd>The time at the end of the interval.</dd>
</dl>The object also contains <code>size</code> and <code>absorbing</code> attributes.
The <code>size</code> attribute is a numeric vector with the elements <code>n_samples</code>,
<code>n_strategies</code>, <code>n_patients</code>, and <code>n_states</code> denoting the number of samples,
treatment strategies, patients, and health states The <code>absorbing</code> attribute
is a numeric vector containing the absorbing health states; i.e., the
health states that cannot be transitioned from. Operationally, an
absorbing state is a row in a transition matrix (as in the <code>trans_mat</code> field
of the <code>IndivCtstmTrans</code> class) with all <code>NA</code>s.

Components

Disease progression object — disprog

A <code>disprog</code> object inherits from <code>data.table</code> and contains
the following columns:
<dl>
<dt>sample</dt>
<dd>A random sample from the PSA.</dd>

<dt>strategy_id</dt>
<dd>The treatment strategy ID.</dd>

<dt>patient_id</dt>
<dd>The patient ID.</dd>

<dt>from</dt>
<dd>The health state ID transitioned from.</dd>

<dt>to</dt>
<dd>The health state ID transitioned to.</dd>

<dt>final</dt>
<dd>An indicator equal to 1 if a patient is in their final health
state during the simulation and 0 otherwise.</dd>

<dt>time_start</dt>
<dd>The time at the start of the interval.</dd>

<dt>time_stop</dt>
<dd>The time at the end of the interval.</dd>


</dl>

The object also contains <code>size</code> and <code>absorbing</code> attributes.
The <code>size</code> attribute is a numeric vector with the elements <code>n_samples</code>,
<code>n_strategies</code>, <code>n_patients</code>, and <code>n_states</code> denoting the number of samples,
treatment strategies, patients, and health states The <code>absorbing</code> attribute
is a numeric vector containing the absorbing health states; i.e., the
health states that cannot be transitioned from. Operationally, an
absorbing state is a row in a transition matrix (as in the <code>trans_mat</code> field
of the <code>IndivCtstmTrans</code> class) with all <code>NA</code>s.

disprog: Disease progression object

Description

Arguments

Components

See Also