get_vt1

Get the appropriate Step 1 estimation function associated with a method

Implements methods to fit Virtual Twins models (Foster et al.
(2011) <doi:10.1002/sim.4322>) for identifying subgroups with differential
effects in the context of clinical trials while controlling the probability
of falsely detecting a differential effect when the conditional average
treatment effect is uniform across the study population using parameter
selection methods proposed in Wolf et al. (2022)
<doi:10.1177/17407745221095855>.

Jack Wolf

tehtuner

Fit and Tune Models to Detect Treatment Effect Heterogeneity

get_vt1 function

<dl><dt>step1</dt>
<dd>character strings specifying the Step 1 model. Supports
either "<code>lasso</code>", "<code>mars</code>", "<code>randomforest</code>", or
"<code>superlearner</code>".</dd></dl>

Arguments

Get the appropriate Step 1 estimation function associated with a method — get_vt1

<dl>

<dt>step1</dt>
<dd>character strings specifying the Step 1 model. Supports
either "<code>lasso</code>", "<code>mars</code>", "<code>randomforest</code>", or
"<code>superlearner</code>".</dd>

</dl>

get_vt1: Get the appropriate Step 1 estimation function associated with a method

Description

Usage

Value

Arguments