We study the statistical performance of different tests for comparing the mean effect of two treatments. Given a reference classical test T0, we determine which sample size and proportion allocation guarantee to a test T, based on response-adaptive design, to be better than T0, in terms of (a) higher power and (b) fewer subjects assigned to the inferior treatment. The adoption of a response-adaptive design to implement the random allocation procedure is necessary to ensure that both (a) and (b) are satisfied. In particular, we propose to use a Modified Randomly Reinforced Urn design and we show how to perform the model parameters selection for the purpose of this paper. Then, the opportunity of relaxing some assumptions on treatment response distributions is presented. Results of simulation studies on the test performance are reported and a real case study is analyzed.

Ghiglietti, A., Paganoni, A. (2016). An urn model to construct an efficient test procedure for response adaptive designs. STATISTICAL METHODS & APPLICATIONS, 25(2), 211-226 [10.1007/s10260-015-0314-y].

An urn model to construct an efficient test procedure for response adaptive designs

Ghiglietti, A
;
2016

Abstract

We study the statistical performance of different tests for comparing the mean effect of two treatments. Given a reference classical test T0, we determine which sample size and proportion allocation guarantee to a test T, based on response-adaptive design, to be better than T0, in terms of (a) higher power and (b) fewer subjects assigned to the inferior treatment. The adoption of a response-adaptive design to implement the random allocation procedure is necessary to ensure that both (a) and (b) are satisfied. In particular, we propose to use a Modified Randomly Reinforced Urn design and we show how to perform the model parameters selection for the purpose of this paper. Then, the opportunity of relaxing some assumptions on treatment response distributions is presented. Results of simulation studies on the test performance are reported and a real case study is analyzed.
No
Articolo in rivista - Articolo scientifico
Scientifica
Clinical trials; Randomly reinforced urns; Response adaptive designs; Tests based on adaptive procedures;
English
211
226
16
Ghiglietti, A., Paganoni, A. (2016). An urn model to construct an efficient test procedure for response adaptive designs. STATISTICAL METHODS & APPLICATIONS, 25(2), 211-226 [10.1007/s10260-015-0314-y].
Ghiglietti, A; Paganoni, A
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10281/391733
Citazioni
  • Scopus 3
  • ???jsp.display-item.citation.isi??? 4
Social impact