match_on_szn_scale

Pooled Dispersion for a Numeric Variable

internal

Distance based bipartite matching using minimum cost flow, oriented
to matching of treatment and control groups in observational studies ('Hansen'
and 'Klopfer' 2006 <doi:10.1198/106186006X137047>). Routines are provided to
generate distances from generalised linear models (propensity score
matching), formulas giving variables on which to limit matched distances,
stratified or exact matching directives, or calipers, alone or in
combination.

Josh Errickson

optmatch

Functions for Optimal Matching

Ben Hansen

Mark Fredrickson

Josh Buckner

Adam Rauh

match_on_szn_scale function

<dl><dt>x</dt>
<dd>numeric variable</dd>
<dt>trtgrp</dt>
<dd>logical or numeric. If numeric, coerced to logical via <code>!</code></dd>
<dt>standardizer</dt>
<dd>function or numeric of length 1</dd></dl>

Arguments

pooled dispersion for a numeric variable — match_on_szn_scale

<dl>

<dt>x</dt>
<dd>numeric variable</dd>


<dt>trtgrp</dt>
<dd>logical or numeric. If numeric, coerced to logical via <code>!</code></dd>


<dt>standardizer</dt>
<dd>function or numeric of length 1</dd>

</dl>

match_on_szn_scale: pooled dispersion for a numeric variable

Description

Usage

Value

Arguments

Details