outcome_phreg

Outcome model for time-to-event end-points (proportional hazards)

Monte Carlo simulation framework for different randomized clinical
trial designs with a special emphasis on estimators based on covariate
adjustment. The package implements regression-based covariate adjustment
(Rosenblum & van der Laan (2010) <doi:10.2202/1557-4679.1138>) and a
one-step estimator (Van Lancker et al (2024)
<doi:10.48550/arXiv.2404.11150>) for trials with continuous, binary and
count outcomes. The estimation of the minimum sample-size required to reach
a specified statistical power for a given estimator uses bisection to find
an initial rough estimate, followed by stochastic approximation
(Robbins-Monro (1951) <doi:10.1214/aoms/1177729586>) to improve the
estimate, and finally, a grid search to refine the estimate in the
neighborhood of the current best solution.

Benedikt Sommer

carts

Simulation-Based Assessment of Covariate Adjustment in
Randomized Trials

Klaus K. Holst

Foroogh Shamsi

Novo Nordisk A/S 

outcome_phreg function

<dl><dt>data</dt>
<dd>(data.table) Covariate data, usually the output of the covariate
model of a Trial object.</dd>
<dt>lp</dt>
<dd>linear predictor (formula or function)</dd>
<dt>par</dt>
<dd>optional list of model parameter</dd>
<dt>outcome.name</dt>
<dd>names of outcome (time and censoring status)</dd>
<dt>remove</dt>
<dd>Variables that will be removed from input <code>data</code> (if formula is
not specified).</dd>
<dt>model</dt>
<dd>optional mets::phreg object</dd>
<dt>cens.model</dt>
<dd>optional model for censoring mechanism</dd>
<dt>cens.lp</dt>
<dd>censoring linear predictor argument (formula or function)</dd>
<dt>cens.par</dt>
<dd>list of censoring model parameters</dd>
<dt>...</dt>
<dd>Additional arguments to outcome_lp</dd></dl>

Arguments

Author

Outcome model for time-to-event end-points (proportional hazards) — outcome_phreg

<dl>

<dt>data</dt>
<dd>(data.table) Covariate data, usually the output of the covariate
model of a Trial object.</dd>


<dt>lp</dt>
<dd>linear predictor (formula or function)</dd>


<dt>par</dt>
<dd>optional list of model parameter</dd>


<dt>outcome.name</dt>
<dd>names of outcome (time and censoring status)</dd>


<dt>remove</dt>
<dd>Variables that will be removed from input <code>data</code> (if formula is
not specified).</dd>


<dt>model</dt>
<dd>optional mets::phreg object</dd>


<dt>cens.model</dt>
<dd>optional model for censoring mechanism</dd>


<dt>cens.lp</dt>
<dd>censoring linear predictor argument (formula or function)</dd>


<dt>cens.par</dt>
<dd>list of censoring model parameters</dd>


<dt>...</dt>
<dd>Additional arguments to outcome_lp</dd>

</dl>

outcome_phreg: Outcome model for time-to-event end-points (proportional hazards)

Description

Usage

Value

Arguments

Author