coef.PSweight

The <code><a href="/link/coef?package=PSweight&version=2.1.1" data-mini-rdoc="PSweight::coef">coef</a></code> method for class "PSweight"

Supports propensity score weighting analysis of observational studies and randomized trials. Enables the estimation and inference of average causal effects with binary and multiple treatments using overlap weights (ATO), inverse probability of treatment weights (ATE), average treatment effect among the treated weights (ATT), matching weights (ATM) and entropy weights (ATEN), with and without propensity score trimming. These weights are members of the family of balancing weights introduced in Li, Morgan and Zaslavsky (2018) <doi:10.1080/01621459.2016.1260466> and Li and Li (2019) <doi:10.1214/19-AOAS1282>.

Yukang Zeng

PSweight

Propensity Score Weighting for Causal Inference with
Observational Studies and Randomized Trials

Tianhui Zhou

Guangyu Tong

Fan Li

Laine Thomas

coef.PSweight function

<dl><dt>object</dt>
<dd>an object for which the extraction of model coefficients is meaningful.</dd>
<dt>...</dt>
<dd>other arguments.</dd></dl>

Arguments

The <code><a href='https://rdrr.io/r/stats/coef.html'>coef</a></code> method for class "PSweight"

Point estimates of PSweight — coef.PSweight

<dl>

<dt>object</dt>
<dd>an object for which the extraction of model coefficients is meaningful.</dd>


<dt>...</dt>
<dd>other arguments.</dd>

</dl>

coef.PSweight: Point estimates of PSweight

Description

Usage

Value

Arguments