fit_trunc_normal

This internal function models a covariate using a normal distribution truncated on one
side at a user-specified cutoff.

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 

fit_trunc_normal function

<dl><dt>covparams</dt>
<dd>List of vectors, where each vector contains information for
one parameter used in the modeling of the time-varying covariates (e.g.,
model statement, family, link function, etc.).</dd>
<dt>obs_data</dt>
<dd>Data on which the model is fit.</dd>
<dt>j</dt>
<dd>Integer specifying the index of the covariate.</dd>
<dt>model_fits</dt>
<dd>Logical scalar indicating whether to return the fitted models. The default is <code>FALSE</code>.</dd></dl>

Arguments

Fit Truncated Normal Model on Covariate — fit_trunc_normal

<dl>

<dt>covparams</dt>
<dd>List of vectors, where each vector contains information for
one parameter used in the modeling of the time-varying covariates (e.g.,
model statement, family, link function, etc.).</dd>


<dt>obs_data</dt>
<dd>Data on which the model is fit.</dd>


<dt>j</dt>
<dd>Integer specifying the index of the covariate.</dd>


<dt>model_fits</dt>
<dd>Logical scalar indicating whether to return the fitted models. The default is <code>FALSE</code>.</dd>

</dl>

Fit Truncated Normal Model on Covariate

fit_trunc_normal: Fit Truncated Normal Model on Covariate

Description

Usage

Value

Arguments