effectiveSampleSize

An <code>optmatch</code> object, the result of
<code><a href="/link/fullmatch?package=optmatch&version=0.9-5" rd-options="" data-mini-rdoc="optmatch::fullmatch">fullmatch</a></code> or <code><a href="/link/pairmatch?package=optmatch&version=0.9-5" rd-options="" data-mini-rdoc="optmatch::pairmatch">pairmatch</a></code>.

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.

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.

Provides routines for distance based bipartite matching to reduce
    covariate imbalance between treatment and control groups in observational
    studies. Routines are provided to generate distances from GLM models (propensity
    score matching) and formulas (Euclidean and Mahalanobis matching), stratified
    matching (exact matching), and calipers. Results of the fullmatch routine are
    guaranteed to provide minimum average within matched set distance.

effectiveSampleSize: Compute the effective sample size of a match.

Description

Usage

Arguments

Value

See Also