The R package MAMS for designing multi-arm multi-stage clinical trials

Jaki, Thomas Friedrich and Pallmann, Philip Steffen and Magirr, Dominic (2019) The R package MAMS for designing multi-arm multi-stage clinical trials. Journal of Statistical Software, 88 (4). ISSN 1548-7660

[img]
Preview
PDF (JSS2434)
JSS2434.pdf - Accepted Version
Available under License Creative Commons Attribution-NonCommercial.

Download (398kB)

Abstract

In the early stages of drug development there is often uncertainty about the most promising among a set of different treatments, different doses of the same treatment, or combinations of treatments. Multi-arm multi-stage (MAMS) clinical studies provide an efficient solution to determine which intervention is most promising. In this paper we discuss the R package MAMS that allows designing such studies within the group-sequential framework. The package implements MAMS studies with normal, binary, ordinal, or timeto-event endpoints in which either the single best treatment or all promising treatments are continued at the interim analyses. Additionally unexpected design modifications can be accounted for via the use of the conditional error approach. We provide illustrative examples of the use of the package based on real trial designs.

Item Type: Journal Article
Journal or Publication Title: Journal of Statistical Software
Uncontrolled Keywords: /dk/atira/pure/subjectarea/asjc/1800/1804
Subjects:
Departments: Faculty of Science and Technology > Mathematics and Statistics
ID Code: 125841
Deposited By: ep_importer_pure
Deposited On: 28 Jun 2018 13:56
Refereed?: Yes
Published?: Published
Last Modified: 23 Sep 2019 23:38
URI: https://eprints.lancs.ac.uk/id/eprint/125841

Actions (login required)

View Item View Item