setup_mml {basksim}

Setup mml Design Object

Description

Creates an object of class mml.

Usage

setup_mml(k, p0, shape1 = 1, shape2 = 1)

Arguments

k

The number of baskets.

p0

A common probability under the null hypothesis.

shape1

First common shape parameter of the beta prior.

shape2

Second common shape parameter of the beta prior.

Details

The class mml implements a modified version of the empirical Bayes method by Gravestock & Held (2017) which was proposed for borrowing strength from an external study. In their approach, the sharing weight is found as the maximum of the marginal likelihood of the weight, given the external data set. This leads, however, to non-symmetric weights when applied to sharing in basket trials, i.e. Basket i would not share the information from Basket j as the other way round. Therefore, a symmetrised version is used, where the mean of the two weights resulting from sharing in both directions is used.

Value

An S3 object of class mml

References

Gravestock, I., & Held, L. (2017). Adaptive power priors with empirical Bayes for clinical trials. Pharmaceutical statistics, 16(5), 349-360.

Examples

design_mml <- setup_mml(k = 3, p0 = 0.2)