effectiveSampleSize

effectiveSampleSize.factor

effectiveSampleSize.default

effectiveSampleSize.table

The effective sample size is the sum of the harmonic means of the number
units in treatment and control for each matched group. For k matched pairs,
the effective sample size is k. As matched groups become more unbalanced, the
effective sample size decreases.

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

effectiveSampleSize function

<dl><dt>x</dt>
<dd>An <code>optmatch</code> object, the result of
<code>fullmatch</code> or <code>pairmatch</code>.</dd>
<dt>z</dt>
<dd>A treatment indicator, a vector the same length as <code>match</code>.
This is only required if the <code>match</code> object does not contain the
contrast.group' attribute.</dd></dl>

Arguments

Compute the effective sample size of a match. — effectiveSampleSize

<dl>

<dt>x</dt>
<dd>An <code>optmatch</code> object, the result of
<code>fullmatch</code> or <code>pairmatch</code>.</dd>


<dt>z</dt>
<dd>A treatment indicator, a vector the same length as <code>match</code>.
This is only required if the <code>match</code> object does not contain the
contrast.group' attribute.</dd>

</dl>

effectiveSampleSize: Compute the effective sample size of a match.

Description

Usage

Value

Arguments

See Also