estimate_semipmetric_erf

Estimates the smoothed exposure-response function using a generalized
additive model with splines.

internal

Provides a framework for estimating causal effects of a continuous
exposure using observational data, and implementing matching and weighting
on the generalized propensity score.
Wu, X., Mealli, F., Kioumourtzoglou, M.A., Dominici, F. and Braun, D., 2022.
Matching on generalized propensity scores with continuous exposures. Journal
of the American Statistical Association, pp.1-29.

Naeem Khoshnevis

CausalGPS

Matching on Generalized Propensity Scores with Continuous
Exposures

Xiao Wu

Danielle Braun

estimate_semipmetric_erf function

<dl><dt>formula</dt>
<dd>a vector of outcome variable in matched set.</dd>
<dt>family</dt>
<dd>a description of the error distribution (see ?gam).</dd>
<dt>data</dt>
<dd>dataset that formula is build upon Note that there should be a
<code>counter_weight</code> column in this data.).</dd>
<dt>...</dt>
<dd>Additional parameters for further fine tuning the gam model.</dd></dl>

Arguments

Estimate semi-exposure-response function (semi-ERF). — estimate_semipmetric_erf

<dl>

<dt>formula</dt>
<dd>a vector of outcome variable in matched set.</dd>


<dt>family</dt>
<dd>a description of the error distribution (see ?gam).</dd>


<dt>data</dt>
<dd>dataset that formula is build upon Note that there should be a
<code>counter_weight</code> column in this data.).</dd>


<dt>...</dt>
<dd>Additional parameters for further fine tuning the gam model.</dd>

</dl>

estimate_semipmetric_erf: Estimate semi-exposure-response function (semi-ERF).

Description

Usage

Value

Arguments

Details