get_dgm_hr

Extracts hazard ratios from DGM object, supporting both old and new formats.
Also supports CDE (controlled direct effect) extraction for Table 5 of
Leon et al. (2024) alignment (theta-ddagger).

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

get_dgm_hr function

<dl><dt>dgm</dt>
<dd>DGM object (gbsg_dgm or aft_dgm_flex)</dd>
<dt>which</dt>
<dd>Character. Which HR to extract: <code>"hr_H"</code>, <code>"hr_Hc"</code>,
<code>"ahr_H"</code>, <code>"ahr_Hc"</code>, <code>"hr_overall"</code>, <code>"ahr"</code>,
<code>"cde_H"</code>, <code>"cde_Hc"</code>, <code>"cde"</code>.</dd></dl>

Arguments

Extract HR from DGM (Backward Compatible) — get_dgm_hr

<dl>

<dt>dgm</dt>
<dd>DGM object (gbsg_dgm or aft_dgm_flex)</dd>


<dt>which</dt>
<dd>Character. Which HR to extract: <code>"hr_H"</code>, <code>"hr_Hc"</code>,
<code>"ahr_H"</code>, <code>"ahr_Hc"</code>, <code>"hr_overall"</code>, <code>"ahr"</code>,
<code>"cde_H"</code>, <code>"cde_Hc"</code>, <code>"cde"</code>.</dd>

</dl>

get_dgm_hr: Extract HR from DGM (Backward Compatible)

Description

Usage

Value

Arguments