check_balance

This function checks the overall balance after statistical matching and plots
the distribution of the propensity score in the treated group, the control group,
and the matched control group.

Multivariate matching in observational studies typically has two goals: 1. to construct
treated and control groups that have similar distribution of observed covariates and 2. to produce
matched pairs or sets that are homogeneous in a few priority variables. This packages implements a
network-flow-based method built around a tripartite graph that can simultaneously achieve both goals.
The package also implements a template matching algorithm using a variant of the tripartite graph
design. A brief description of the workflow and some examples are given in the vignette. A more elaborated
tutorial can be found at <https://www.researchgate.net/publication/359513837_Tutorial_for_R_Package_match2C>.

Bo Zhang

match2C

Match One Sample using Two Criteria

check_balance function

<dl><dt>Z</dt>
<dd>A vector of treatment indicator.</dd>
<dt>match_object</dt>
<dd>An object returned by match_2C or match_2C_mat or match_2C_list.</dd>
<dt>cov_list</dt>
<dd>A vector of names of covariates as appeared in the original dataset.</dd>
<dt>plot_propens</dt>
<dd>Post-matching distribution of the estimated propensity scores in
two groups is plotted if TRUE; FALSE by default.</dd>
<dt>propens</dt>
<dd>NULL by default. If plot_propens = TRUE, then a vector of
estimated propensity scores satisfying length(propens) = length(Z)
needs to be supplied.</dd></dl>

Arguments

Check balance after matching. — check_balance

<dl>

<dt>Z</dt>
<dd>A vector of treatment indicator.</dd>


<dt>match_object</dt>
<dd>An object returned by match_2C or match_2C_mat or match_2C_list.</dd>


<dt>cov_list</dt>
<dd>A vector of names of covariates as appeared in the original dataset.</dd>


<dt>plot_propens</dt>
<dd>Post-matching distribution of the estimated propensity scores in
two groups is plotted if TRUE; FALSE by default.</dd>


<dt>propens</dt>
<dd>NULL by default. If plot_propens = TRUE, then a vector of
estimated propensity scores satisfying length(propens) = length(Z)
needs to be supplied.</dd>

</dl>

check_balance: Check balance after matching.

Description

Usage

Value

Arguments