static

This function specifies the static intervention, either treat with a constant value or never treat, 
on the treatment variable in <code>data</code>.

Implements iterative conditional expectation (ICE) estimators of the plug-in g-formula (Wen, Young, Robins, and Hernán (2020) <doi: 10.1111/biom.13321>).
Both singly robust and doubly robust ICE estimators based on parametric models are available.
The package can be used to estimate survival curves under sustained treatment strategies (interventions) using longitudinal data with time-varying treatments, time-varying confounders, censoring, and competing events.
The interventions can be static or dynamic, and deterministic or stochastic (including threshold interventions). Both prespecified and user-defined interventions are available.

Jing Li

gfoRmulaICE

Parametric Iterative Conditional Expectation G-Formula

Zhaoxi Cheng

Sophia Rein

Ryan O'Dea

Sean McGrath

Lan Wen

Miguel A. Hernán

2024 The President and Fellows of Harvard College 

static function

<dl><dt>value</dt>
<dd>a number specifying the intervention value. 0 for never treat.</dd>
<dt>data</dt>
<dd>a data frame containing the observed data.</dd></dl>

Arguments

Static — static

<dl>

<dt>value</dt>
<dd>a number specifying the intervention value. 0 for never treat.</dd>


<dt>data</dt>
<dd>a data frame containing the observed data.</dd>

</dl>

static: Static

Description

Usage

Value

Arguments

Examples