5.3 Bayesian Model Averaging Continual Reassessment Method
In the CRM, the prespecified skeleton 
is usually arbitrary and subjective. As a result, the performance of the CRM may be compromised due to model misspecifications, which is a common drawback of parametric models. To enhance the robustness of the CRM, we can construct multiple CRM models in parallel, such that each model is equipped with a different skeleton representing uncertainty in the parametric modeling structure [3]. If there is no preference on different modeling structures, then we assign a discrete uniform prior probability to each CRM model. Through the Bayesian model averaging ...
is usually arbitrary and subjective. As a result, the performance of the CRM may be compromised due to model misspecifications, which is a common drawback of parametric models. To enhance the robustness of the CRM, we can construct multiple CRM models in parallel, such that each model is equipped with a different skeleton representing uncertainty in the parametric modeling structure [3]. If there is no preference on different modeling structures, then we assign a discrete uniform prior probability to each CRM model. Through the Bayesian model averaging ...Get Modern Approaches to Clinical Trials Using SAS: Classical, Adaptive, and Bayesian Methods now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
