Based on reinforced urn process introduced by Muliere et al. [2000. Urn schemes and reinforced random walks. Stochastic Process. Appl. 88(1), 59-78] we propose a Bayesian nonparametric approach to analyse a design determining the maximum tolerated dose (MTD) in Phase I clinical trials for new drug development when intrapatient dose escalation is allowed. A predictive distribution of MTD is obtained and its point estimation may consist in the corresponding expected value

Mezzetti, M., Muliere, P., Bulla, P. (2007). An application of reinforced urn processes to determining maximum tolerated dose. STATISTICS & PROBABILITY LETTERS, 77(7), 740-747 [10.1016/j.spl.2006.11.010].

An application of reinforced urn processes to determining maximum tolerated dose

MEZZETTI, MAURA;
2007-01-01

Abstract

Based on reinforced urn process introduced by Muliere et al. [2000. Urn schemes and reinforced random walks. Stochastic Process. Appl. 88(1), 59-78] we propose a Bayesian nonparametric approach to analyse a design determining the maximum tolerated dose (MTD) in Phase I clinical trials for new drug development when intrapatient dose escalation is allowed. A predictive distribution of MTD is obtained and its point estimation may consist in the corresponding expected value
2007
Pubblicato
Rilevanza internazionale
Articolo
Sì, ma tipo non specificato
Settore SECS-S/01 - STATISTICA
English
Con Impact Factor ISI
Phase I; maximum tolerated dose; urn scheme
Mezzetti, M., Muliere, P., Bulla, P. (2007). An application of reinforced urn processes to determining maximum tolerated dose. STATISTICS & PROBABILITY LETTERS, 77(7), 740-747 [10.1016/j.spl.2006.11.010].
Mezzetti, M; Muliere, P; Bulla, P
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/43293
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