boot.ctree

Stratification using classification trees for bootstrapping.

It is often advantageous to test a hypothesis more than once
in the context of propensity score analysis (Rosenbaum, 2012)
<doi:10.1093/biomet/ass032>. The functions in this package facilitate
bootstrapping for propensity score analysis (PSA). By default,
bootstrapping using two classification tree methods (using 'rpart' and
'ctree' functions), two matching methods (using 'Matching' and
'MatchIt' packages), and stratification with logistic regression. A
framework is described for users to implement additional propensity
score methods. Visualizations are emphasized for diagnosing balance;
exploring the correlation relationships between bootstrap samples and
methods; and to summarize results.

Jason Bryer

PSAboot

Bootstrapping for Propensity Score Analysis

boot.ctree function

<dl><dt>Tr</dt>
<dd>vector indicating treatment assignment.</dd>
<dt>Y</dt>
<dd>vector of outcome.</dd>
<dt>X</dt>
<dd>matrix or data frame of covariates.</dd>
<dt>X.trans</dt>
<dd>a data frame of `X` with factors recoded. See `[PSAgraphics::cv.trans.psa()]`</dd>
<dt>formu</dt>
<dd>the formula to use to estimate propensity scores. Note that the
dependent varaible (i.e. treatment varaible) name will be updated using
the <code>Tr</code> vector.</dd>
<dt>minStrata</dt>
<dd>minimum number of treatment or control units within a strata 
to include that strata.</dd>
<dt>...</dt>
<dd>other parameters passed from `[PSAboot()]`</dd></dl>

Arguments

Stratification using classification trees for bootstrapping. — boot.ctree

<dl>

<dt>Tr</dt>
<dd>vector indicating treatment assignment.</dd>


<dt>Y</dt>
<dd>vector of outcome.</dd>


<dt>X</dt>
<dd>matrix or data frame of covariates.</dd>


<dt>X.trans</dt>
<dd>a data frame of `X` with factors recoded. See `[PSAgraphics::cv.trans.psa()]`</dd>


<dt>formu</dt>
<dd>the formula to use to estimate propensity scores. Note that the
dependent varaible (i.e. treatment varaible) name will be updated using
the <code>Tr</code> vector.</dd>


<dt>minStrata</dt>
<dd>minimum number of treatment or control units within a strata 
to include that strata.</dd>


<dt>...</dt>
<dd>other parameters passed from `[PSAboot()]`</dd>

</dl>

boot.ctree: Stratification using classification trees for bootstrapping.

Description

Usage

Value

Arguments