intfunc

This internal function executes the intervention of interest on the specified intervention variable
in the data table <code>newdf</code>.

internal

Implements the non-iterative conditional expectation (NICE)
algorithm of the g-formula algorithm (Robins (1986)
<doi:10.1016/0270-0255(86)90088-6>, Hernán and Robins (2024, ISBN:9781420076165)).
The g-formula can estimate an outcome's counterfactual mean or risk under
hypothetical treatment strategies (interventions) when there is sufficient
information on time-varying treatments and confounders.
This package can be used for discrete or continuous time-varying treatments
and for failure time outcomes or continuous/binary end of follow-up
outcomes. The package can handle a random measurement/visit process and a
priori knowledge of the data structure, as well as censoring (e.g., by loss
to follow-up) and two options for handling competing events for failure time
outcomes. Interventions can be flexibly specified, both as interventions on
a single treatment or as joint interventions on multiple treatments.
See McGrath et al. (2020) <doi:10.1016/j.patter.2020.100008> for a guide on
how to use the package.

Sean McGrath

gfoRmula

Parametric G-Formula

Victoria Lin

Zilu Zhang

Roger W. Logan

Lucia C. Petito

Jing Li

McGee Emma

Cheng Carrie

Jessica G. Young

Miguel A. Hernán

2019 The President and Fellows of Harvard College 

intfunc function

<dl><dt>newdf</dt>
<dd>Data table containing the simulated data at time \(t\).</dd>
<dt>pool</dt>
<dd>Data table containing the simulated data at times before \(t\).</dd>
<dt>intervention</dt>
<dd>List, whose elements are lists of vectors. Each vector contains a function
implementing a particular intervention on a single variable, optionally
followed by one or more "intervention values" (i.e.,
integers used to specify the treatment regime).</dd>
<dt>intvar</dt>
<dd>Character string specifying the name of the variable to be intervened on in each round of the simulation.</dd>
<dt>int_time</dt>
<dd>Vector specifying the time points in which the intervention is applied.</dd>
<dt>time_name</dt>
<dd>Character string specifying the name of the time variable in <code>pool</code> and <code>newdf</code>.</dd>
<dt>t</dt>
<dd>Integer specifying the current time index.</dd></dl>

Arguments

Execute Intervention — intfunc

<dl>

<dt>newdf</dt>
<dd>Data table containing the simulated data at time \(t\).</dd>


<dt>pool</dt>
<dd>Data table containing the simulated data at times before \(t\).</dd>


<dt>intervention</dt>
<dd>List, whose elements are lists of vectors. Each vector contains a function
implementing a particular intervention on a single variable, optionally
followed by one or more "intervention values" (i.e.,
integers used to specify the treatment regime).</dd>


<dt>intvar</dt>
<dd>Character string specifying the name of the variable to be intervened on in each round of the simulation.</dd>


<dt>int_time</dt>
<dd>Vector specifying the time points in which the intervention is applied.</dd>


<dt>time_name</dt>
<dd>Character string specifying the name of the time variable in <code>pool</code> and <code>newdf</code>.</dd>


<dt>t</dt>
<dd>Integer specifying the current time index.</dd>

</dl>

Execute Intervention

intfunc: Execute Intervention

Description

Usage

Value

Arguments