calipers

Updates given distance matrix to prioritize specified measured
confounders in a pair match. Used in consort with
<code>matches</code> function to prioritize specific measured
confounders in a near-far match in the <code>opt_nearfar</code> function.

Near-far matching is a study design technique for preprocessing observational data to mimic a pair-randomized trial. Individuals are matched to be near on measured confounders and far on levels of an instrumental variable. Methods outlined in further detail in Rigdon, Baiocchi, and Basu (2018) <doi:10.18637/jss.v086.c05>.

Joseph Rigdon

nearfar

Near-Far Matching

calipers function

<dl> <dt>distmat</dt>
<dd>An object of class distance matrix</dd> <dt>variable</dt>
<dd>Named variable from list of measured confounders</dd> <dt>tolerance</dt>
<dd>Penalty to apply to mismatched observations; values
 near 0 penalize mismatches more</dd></dl>

Arguments

Matching priority function — calipers

<dl>

 <dt>distmat</dt>
<dd>An object of class distance matrix</dd>

 <dt>variable</dt>
<dd>Named variable from list of measured confounders</dd>

 <dt>tolerance</dt>
<dd>Penalty to apply to mismatched observations; values
 near 0 penalize mismatches more</dd>

</dl>

calipers: Matching priority function

Description

Usage

Value

Arguments

See Also

Examples