Single-arm two-stage designs are commonly used in phase II of clinical trials. However, the use of randomization in phase II trials is currently increasing. We propose a randomized version of a Bayesian two-stage design due to Tan and Machin [4]. The idea is to select the two-stage sample sizes by ensuring a large posterior probability that the true response rate of the experimental treatment exceeds that of the standard agent, assuming that the experimental treatment is actually more effective. This optimistic assumption is realized by fixing virtual outcomes. © Springer International Publishing Switzerland 2014.
Randomized phase II trials: A Bayesian two-stage design / Cellamare, Matteo; Sambucini, Valeria; Federica, Siena. - 63:(2014), pp. 139-142. (Intervento presentato al convegno 1st Bayesian Young Statistician Meeting, BAYSM 2013 tenutosi a Milan; Italy nel 5 June 2013 through 6 June 2013) [10.1007/978-3-319-02084-6__27].
Randomized phase II trials: A Bayesian two-stage design
CELLAMARE, MATTEO;SAMBUCINI, Valeria;
2014
Abstract
Single-arm two-stage designs are commonly used in phase II of clinical trials. However, the use of randomization in phase II trials is currently increasing. We propose a randomized version of a Bayesian two-stage design due to Tan and Machin [4]. The idea is to select the two-stage sample sizes by ensuring a large posterior probability that the true response rate of the experimental treatment exceeds that of the standard agent, assuming that the experimental treatment is actually more effective. This optimistic assumption is realized by fixing virtual outcomes. © Springer International Publishing Switzerland 2014.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
