Some recent developments in the design of adaptive clinical trials

Alessandro Baldi Antognini, Alessandra Giovagnoli and Maroussa Zagoraiou
Additional contact information
Alessandra Giovagnoli: Department of Statistical Sciences - University of Bologna - Italy
Maroussa Zagoraiou: Department of Statistical Sciences - University of Bologna - Italy

Statistica, 2012, vol. 72, issue 4, 375-393

Abstract: For clinical trials that compare two or more competing treatments, the literature proposes several randomization rules that aim at favouring, at each stage of the trial, the treatment that appears to be best. In two papers the present authors have suggested criteria of optimal allocation that combine inferential precision and ethical gain by means of flexible weights, in order to achieve a good trade-off between efficiency and ethical concerns. The ensuing optimal allocation of the treatments can be targeted by a suitable response- adaptive randomization rule. The purpose of this paper is to illustrate and extend the results previously obtained by the authors to a wider range of statistical models for comparative trials. Methods for implementing these designs are given. Some numerical examples are included in order to enhance the applicability.

Date: 2012
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bot:rivsta:v:72:y:2012:i:4:p:375-393

Access Statistics for this article

Statistica is currently edited by Department of Statistics, University of Bologna

More articles in Statistica from Department of Statistics, University of Bologna Contact information at EDIRC.
Bibliographic data for series maintained by Giovanna Galatà ().