This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 256
Type: Contributed
Date/Time: Monday, August 2, 2010 : 2:00 PM to 3:50 PM
Sponsor: Biopharmaceutical Section
Abstract - #309160
Title: A General Framework of Adaptive Designs for Early-Phase Oncology Clinical Trials
Author(s): Lixin Lang*+ and Ralph Raymond
Companies: Bristol-Myers Squibb and Bristol-Myers Squibb
Address: Route 206 & Province Line Road, Princeton, NJ, 08543,
Keywords: Adaptive Design ; EWOC ; CRM ; Early phase Oncology ; Bayesian

State-space model is proposed to generalize adaptive Bayesian designs for early phase oncology clinical trails, which include, but not limited to, continual reassessment method (CRM), escalation with overdose control (EWOC), and toxicity posterior interval (TPI). The flexibility of state-space model also allows researchers to investigate new adaptive designs within the same framework. An example is given to extend TPI to be fully Bayesian parametric. Estimation of model parameters is made simple by the usage of Monte Carlo simulation, which can be easily implemented and integrated into existing software packages. Its usage is successfully demonstrated by replicating the parameter estimation results from the EWOC's original paper, which resorts to complex numerical integrations.

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