CopulaSelection

Build a copula class object from the given family and the corresponding dependence parameter from the given correlation

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

CopulaSelection function

<dl><dt>copula</dt>
<dd>Copula given from the following list: "Frank" (default), "Gumbel" , "Clayton", "Normal" , "T",
, "Galambos", "HuslerReiss", "Tawn", "Tev", "FGM" or "Plackett"</dd>
<dt>rho</dt>
<dd>Spearman's coefficient between the 2 marginal distributions</dd>
<dt>rho_type</dt>
<dd>Type of correlation: "Spearman" (default) or "Kendall"</dd></dl>

Arguments

Copula object — CopulaSelection

<dl>

<dt>copula</dt>
<dd>Copula given from the following list: "Frank" (default), "Gumbel" , "Clayton", "Normal" , "T",
, "Galambos", "HuslerReiss", "Tawn", "Tev", "FGM" or "Plackett"</dd>


<dt>rho</dt>
<dd>Spearman's coefficient between the 2 marginal distributions</dd>


<dt>rho_type</dt>
<dd>Type of correlation: "Spearman" (default) or "Kendall"</dd>

</dl>

CopulaSelection: Copula object

Description

Usage

Arguments