FS_labels

Converts q-indexed codes to human-readable labels using the confs_labels
mapping. Supports both full format ("q1.1", "q3.0") and short format
("q1", "q3"). Handles vector input via recursion.

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

FS_labels function

<dl><dt>Qsg</dt>
<dd>Character. Factor code in format <code>"q&lt;index&gt;.&lt;action&gt;"</code> or
<code>"q&lt;index&gt;"</code>. For the full format, action 0 = NOT (complement),
action 1 = IN (member). Short format defaults to action 1.
Can also be a character vector for vectorized input.</dd>
<dt>confs_labels</dt>
<dd>Character vector. Labels for each factor, indexed by
factor number.</dd></dl>

Arguments

Convert Factor Code to Label — FS_labels

<dl>

<dt>Qsg</dt>
<dd>Character. Factor code in format <code>"q&lt;index&gt;.&lt;action&gt;"</code> or
<code>"q&lt;index&gt;"</code>. For the full format, action 0 = NOT (complement),
action 1 = IN (member). Short format defaults to action 1.
Can also be a character vector for vectorized input.</dd>


<dt>confs_labels</dt>
<dd>Character vector. Labels for each factor, indexed by
factor number.</dd>

</dl>

FS_labels: Convert Factor Code to Label

Description

Usage

Value

Arguments