create_grf_config

This file contains helper functions used by grf.subg.harm.survival()
to improve readability and modularity.
Create GRF configuration object

internal

Implements statistical methods for exploratory subgroup identification
in clinical trials with survival endpoints. Provides tools for identifying
patient subgroups with differential treatment effects using machine learning
approaches including Generalized Random Forests (GRF), LASSO regularization,
and exhaustive combinatorial search algorithms. Features bootstrap bias
correction using infinitesimal jackknife methods to address selection bias
in post-hoc analyses. Designed for clinical researchers conducting exploratory
subgroup analyses in randomized controlled trials, particularly for
multi-regional clinical trials (MRCT) requiring regional consistency
evaluation. Supports both accelerated failure time (AFT) and Cox proportional
hazards models with comprehensive diagnostic and visualization tools.
Methods are described in León et al. (2024) <doi:10.1002/sim.10163>.

Larry Leon

forestsearch

Exploratory Subgroup Identification in Clinical Trials with
Survival Endpoints

create_grf_config function

<dl><dt>frac.tau</dt>
<dd>Numeric. Fraction of tau for GRF horizon</dd>
<dt>n.min</dt>
<dd>Integer. Minimum subgroup size</dd>
<dt>dmin.grf</dt>
<dd>Numeric. Minimum difference in subgroup mean</dd>
<dt>RCT</dt>
<dd>Logical. Is the data from a randomized controlled trial?</dd>
<dt>sg.criterion</dt>
<dd>Character. Subgroup selection criterion</dd>
<dt>maxdepth</dt>
<dd>Integer. Maximum tree depth</dd>
<dt>seedit</dt>
<dd>Integer. Random seed</dd></dl>

Arguments

Helper Functions for GRF Subgroup Analysis — create_grf_config

<dl>

<dt>frac.tau</dt>
<dd>Numeric. Fraction of tau for GRF horizon</dd>


<dt>n.min</dt>
<dd>Integer. Minimum subgroup size</dd>


<dt>dmin.grf</dt>
<dd>Numeric. Minimum difference in subgroup mean</dd>


<dt>RCT</dt>
<dd>Logical. Is the data from a randomized controlled trial?</dd>


<dt>sg.criterion</dt>
<dd>Character. Subgroup selection criterion</dd>


<dt>maxdepth</dt>
<dd>Integer. Maximum tree depth</dd>


<dt>seedit</dt>
<dd>Integer. Random seed</dd>

</dl>

create_grf_config: Helper Functions for GRF Subgroup Analysis

Description

Usage

Value

Arguments

Details