sim_data

A simple function to simulate example data.

Doubly robust methods for evaluating surrogate markers as outlined in: Agniel D, Hejblum BP, Thiebaut R & Parast L (2022).
"Doubly robust evaluation of high-dimensional surrogate markers", Biostatistics <doi:10.1093/biostatistics/kxac020>. You can use these methods to determine how much of the overall treatment effect is explained by a (possibly high-dimensional) set of surrogate markers.

Denis Agniel

crossurr

Cross-Fitting for Doubly Robust Evaluation of High-Dimensional
Surrogate Markers

Boris P. Hejblum

Layla Parast

sim_data function

<dl><dt>n</dt>
<dd>number of simulated observations</dd>
<dt>p</dt>
<dd>number of simulated variables</dd></dl>

Arguments

A simple function to simulate example data. — sim_data

<dl>

<dt>n</dt>
<dd>number of simulated observations</dd>


<dt>p</dt>
<dd>number of simulated variables</dd>

</dl>

sim_data: A simple function to simulate example data.

Description

Usage

Value

Arguments