create_trans_dt

Create a data table of health state transitions from a transition matrix describing
the states and transitions in a multi-state model suitable for use with <code>hesim_data</code>.

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

R Core Team 

create_trans_dt function

<dl><dt>trans_mat</dt>
<dd>A transition matrix in the format from the <code>mstate</code> package.
See <code>IndivCtstmTrans</code>.</dd></dl>

Arguments

Create a data table of health state transitions — create_trans_dt

<dl>

<dt>trans_mat</dt>
<dd>A transition matrix in the format from the <code>mstate</code> package.
See <code>IndivCtstmTrans</code>.</dd>

</dl>

create_trans_dt: Create a data table of health state transitions

Description

Usage

Value

Arguments

Examples