get_prob1

Returns the probability of observing a single 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

get_prob1 function

<dl><dt>beta1</dt>
<dd>Shape parameter for a Weibull law for the relevant event</dd>
<dt>beta2</dt>
<dd>Shape parameter for a Weibull law for the additional event</dd>
<dt>b11</dt>
<dd>Scale parameter of the Weibull distribution in treated arm for the relevant event</dd>
<dt>b21</dt>
<dd>Scale parameter of the Weibull distribution in treated arm for the additional event</dd>
<dt>case</dt>
<dd>Censoring case: 1, 2, 3 or 4</dd>
<dt>rho</dt>
<dd>Spearman's coefficient between the 2 marginal distributions</dd>
<dt>copula</dt>
<dd>Copula to use</dd>
<dt>endpoint</dt>
<dd>Endpoint from which it is wanted to obtain the probability of being observed</dd></dl>

Arguments

Probability of observing the event — get_prob1

<dl>

<dt>beta1</dt>
<dd>Shape parameter for a Weibull law for the relevant event</dd>


<dt>beta2</dt>
<dd>Shape parameter for a Weibull law for the additional event</dd>


<dt>b11</dt>
<dd>Scale parameter of the Weibull distribution in treated arm for the relevant event</dd>


<dt>b21</dt>
<dd>Scale parameter of the Weibull distribution in treated arm for the additional event</dd>


<dt>case</dt>
<dd>Censoring case: 1, 2, 3 or 4</dd>


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


<dt>copula</dt>
<dd>Copula to use</dd>


<dt>endpoint</dt>
<dd>Endpoint from which it is wanted to obtain the probability of being observed</dd>

</dl>

get_prob1: Probability of observing the event

Description

Usage

Arguments