compute_dgm_cde

Calculates Controlled Direct Effect (CDE) hazard ratios from the
super-population potential outcomes (<code>theta_0</code>, <code>theta_1</code>)
and attaches them to the DGM's <code>hazard_ratios</code> list. This enables
automatic CDE detection by <code>build_estimation_table</code>.

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

compute_dgm_cde function

<dl><dt>dgm</dt>
<dd>A DGM object (e.g., from <code>create_gbsg_dgm</code> or
<code>generate_aft_dgm_flex</code>). Must contain <code>df_super_rand</code>
with columns <code>theta_0</code> and <code>theta_1</code>.</dd>
<dt>harm_col</dt>
<dd>Character. Name of the subgroup indicator column in
<code>dgm$df_super_rand</code>. If <code>NULL</code> (default), auto-detected
from <code>flag.harm</code>, <code>flag_harm</code>, or <code>H</code>.</dd></dl>

Arguments

Compute and Attach CDE Values to a DGM Object — compute_dgm_cde

<dl>

<dt>dgm</dt>
<dd>A DGM object (e.g., from <code>create_gbsg_dgm</code> or
<code>generate_aft_dgm_flex</code>). Must contain <code>df_super_rand</code>
with columns <code>theta_0</code> and <code>theta_1</code>.</dd>


<dt>harm_col</dt>
<dd>Character. Name of the subgroup indicator column in
<code>dgm$df_super_rand</code>. If <code>NULL</code> (default), auto-detected
from <code>flag.harm</code>, <code>flag_harm</code>, or <code>H</code>.</dd>

</dl>

compute_dgm_cde: Compute and Attach CDE Values to a DGM Object

Description

Usage

Value

Arguments

Details

See Also

Examples