Designing multi-arm multi-stage clinical studies

Jaki, Thomas (2014) Designing multi-arm multi-stage clinical studies. In: Developments in statistical evaluation of clinical trials. Springer, Berlin, pp. 51-69. ISBN 9783642553448

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Abstract

In the early stages of drug development there often is uncertainty about the most promising among a set of different treatments, different doses of the same treatment or sets of combinations of treatments. An efficient solution to determine which intervention is most promising are multi-arm multi-stage clinical studies (MAMS). In this chapter we will discuss the general concept to designing MAMS studies within the group sequential framework and provide detailed solutions for multi-arm multi-stage studies with normally distributed endpoints in which all promising treatments are continued at the interim analyses. An approach to find optimal designs is discussed as well as asymptotic solutions for binary, ordinal and time-to event endpoints.

Item Type:
Contribution in Book/Report/Proceedings
ID Code:
71143
Deposited By:
Deposited On:
08 Oct 2014 08:00
Refereed?:
Yes
Published?:
Published
Last Modified:
16 Nov 2020 04:29