prob_cbe

This function calculates the probability of the composite binary endpoint formed by a combination of two events (E1 and E2).
This probability is calculated by means of the probabilities of the composite components (E1 and E2) and the correlation between them in terms of Pearson's correlation coefficient.

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

prob_cbe function

<dl><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>rho</dt>
<dd>numeric parameter, Pearson's correlation between E1 and E2</dd></dl>

Arguments

Probability of composite binary endpoints — prob_cbe

<dl>

<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>rho</dt>
<dd>numeric parameter, Pearson's correlation between E1 and E2</dd>

</dl>

prob_cbe: Probability of composite binary endpoints

Description

Usage

Value

Arguments

Details

References

Examples