pm3fit

Generate propensity scores and generate the data to be matched.

You can use this program for 3 sets of categorical data for propensity score matching.
Assume that the data has 3 different categorical variables. You can use it to perform propensity matching of baseline indicator groupings.
The matching will make the differences in the baseline data smaller.
This method was described by Alvaro Fuentes (2022) <doi:10.1080/00273171.2021.1925521>.

Qiang LIU

Propensity Score Matching for Unordered 3-Group Data

pm3fit function

<dl><dt>data</dt>
<dd>A data entry is required.</dd>
<dt>x</dt>
<dd>The 3 categorical variables that you make matches for.</dd>
<dt>y</dt>
<dd>Your result variable.</dd>
<dt>covs</dt>
<dd>Enter the relevant covariates.</dd>
<dt>factor</dt>
<dd>Define categorical variables.</dd></dl>

Arguments

pm3fit — pm3fit

<dl>

<dt>data</dt>
<dd>A data entry is required.</dd>


<dt>x</dt>
<dd>The 3 categorical variables that you make matches for.</dd>


<dt>y</dt>
<dd>Your result variable.</dd>


<dt>covs</dt>
<dd>Enter the relevant covariates.</dd>


<dt>factor</dt>
<dd>Define categorical variables.</dd>

</dl>

pm3fit: pm3fit

Description

Value

Arguments