print.qgcompemmfit

Prints output depending the model used. <code>qgcomp.emm.glm.noboot</code> and <code>qgcomp.emm.cox.noboot</code> will output final estimate of joint exposure
effect, as well
as estimates of the 'weights' (scaled coefficients). <code>qgcomp.emm.glm.boot</code> and <code>qgcomp.emm.glm.ee</code> methods will only output final effect estimates.

G-computation for a set of time-fixed exposures
with quantile-based basis functions, possibly under linearity and
homogeneity assumptions. Effect measure modification in this method is a way
to assess how the effect of the mixture varies by a binary, categorical or continuous variable.
Reference: Alexander P. Keil, Jessie P.
Buckley, Katie M. OBrien, Kelly K. Ferguson, Shanshan Zhao, and
Alexandra J. White (2019) A quantile-based g-computation approach to
addressing the effects of exposure mixtures; <doi:10.1289/EHP5838>.

Alexander Keil

qgcompint

Quantile G-Computation Extensions for Effect Measure
Modification

print.qgcompemmfit function

<dl><dt>x</dt>
<dd>"qgcompemmfit" object from <code>qgcomp.emm.glm.noboot</code>
function</dd>
<dt>showweights</dt>
<dd>logical: should weights be printed, if estimated?</dd>
<dt>...</dt>
<dd>unused</dd></dl>

Arguments

Default printing method for a qgcompemmfit object — print.qgcompemmfit

<dl>

<dt>x</dt>
<dd>"qgcompemmfit" object from <code>qgcomp.emm.glm.noboot</code>
function</dd>


<dt>showweights</dt>
<dd>logical: should weights be printed, if estimated?</dd>


<dt>...</dt>
<dd>unused</dd>

</dl>

print.qgcompemmfit: Default printing method for a qgcompemmfit object

Description

Usage

Value

Arguments

See Also