f_sim

Simulation of a trial with a composite endpoint

internal

It has been designed to calculate the required sample size in randomized clinical trials with composite endpoints. It also calculates the expected effect and the probability of observing the composite endpoint, among others. The methodology can be found in Bofill & Gómez (2019) <doi:10.1002/sim.8092> and Gómez & Lagakos (2013) <doi:10.1002/sim.5547>.

Marta Roig

CompAREdesign

Statistical Functions for the Design of Studies with Composite
Endpoints

Marta Bofill Roig

Jordi Cortes Martinez

Guadalupe Gomez Melis

f_sim function

<dl><dt>samplesize</dt>
<dd>sample size per arm</dd>
<dt>p_e1</dt>
<dd>numeric parameter, probability of the event E1</dd>
<dt>p_e2</dt>
<dd>numeric parameter, probability of the event E2</dd>
<dt>p_ce</dt>
<dd>probability of the composite endpoint</dd></dl>

Arguments

Simulation 1-arm — f_sim

<dl>

<dt>samplesize</dt>
<dd>sample size per arm</dd>


<dt>p_e1</dt>
<dd>numeric parameter, probability of the event E1</dd>


<dt>p_e2</dt>
<dd>numeric parameter, probability of the event E2</dd>


<dt>p_ce</dt>
<dd>probability of the composite endpoint</dd>

</dl>

f_sim: Simulation 1-arm

Description

Usage

Value

Arguments

Examples