REVEL

A reconstructed survival data set for the REVEL clinical trial

datasets

Provides functions for planning clinical trials subject to a delayed
treatment effect using assurance-based methods. Includes two 'shiny'
applications for interactive exploration, simulation, and visualisation of
trial designs and outcomes. The methodology is described in:
Salsbury JA, Oakley JE, Julious SA, Hampson LV (2024)
"Assurance methods for designing a clinical trial with a delayed treatment
effect" <doi:10.1002/sim.10136>,
Salsbury JA, Oakley JE, Julious SA, Hampson LV (2024)
"Adaptive clinical trial design with delayed treatment effects using
elicited prior distributions" <doi:10.48550/arXiv.2509.07602>.

James Salsbury

DTEAssurance

Assurance Methods for Clinical Trials with a Delayed Treatment
Effect

REVEL function

A data frame with 625 rows and 2 variables:<dl>
<dt>Survival time</dt>
<dd>Survival Time (in months)</dd><dt>Status</dt>
<dd>Event indicator (0=Alive, 1=Dead)</dd>
</dl>

Format

REVEL data set — REVEL

A data frame with 625 rows and 2 variables:<dl>
<dt>Survival time</dt>
<dd>Survival Time (in months)</dd>

<dt>Status</dt>
<dd>Event indicator (0=Alive, 1=Dead)</dd>


</dl>

REVEL: REVEL data set

Description

Usage

Arguments

Format