MCMC_sample

An MCMC sample for the example given in Salsbury et al (2024)

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

MCMC_sample function

A data frame with 100000 rows and 1 variables:<dl>
<dt>x</dt>
<dd>Sample from the MAP prior</dd></dl>

Format

MCMC_sample — MCMC_sample

A data frame with 100000 rows and 1 variables:<dl>
<dt>x</dt>
<dd>Sample from the MAP prior</dd>



</dl>

MCMC_sample: MCMC_sample

Description

Usage

Arguments

Format