tehtuner_example

Simulated data from a clinical trial with heterogeneous treatment effects
where the CATE was a function of V1 and V9.

datasets

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

tehtuner_example function

A data frame with 1000 rows and 12 columns:<dl>
<dt>Trt</dt>
<dd>Binary treatment indicator</dd><dt>Y</dt>
<dd>Continuous response</dd><dt>V1,V2,V3,V4,V5,V6,V7,V8</dt>
<dd>Continuous covariates</dd><dt>V9,V10</dt>
<dd>Binary covariates</dd>
</dl>

Format

Simulated example data — tehtuner_example

A data frame with 1000 rows and 12 columns:<dl>
<dt>Trt</dt>
<dd>Binary treatment indicator</dd>

<dt>Y</dt>
<dd>Continuous response</dd>

<dt>V1,V2,V3,V4,V5,V6,V7,V8</dt>
<dd>Continuous covariates</dd>

<dt>V9,V10</dt>
<dd>Binary covariates</dd>


</dl>

tehtuner_example: Simulated example data

Description

Usage

Arguments

Format