8.5 Summary
The Bayesian 
model is a flexible tool that can be used to better
understand the dose response. In some cases, it may converge where
a traditional maximum likelihood model may not converge [2]. Moreover,
there may be examples where the maximum likelihood 
model converges
but estimates for the parameters such as 
may be nonsensical. In such situations, a Bayesian analysis may yield robust estimates of the model parameters. Like all Bayesian ...
model is a flexible tool that can be used to better
understand the dose response. In some cases, it may converge where
a traditional maximum likelihood model may not converge [2]. Moreover,
there may be examples where the maximum likelihood model converges
but estimates for the parameters such as may be nonsensical. In such situations, a Bayesian analysis may yield robust estimates of the model parameters. Like all Bayesian ...Get Modern Approaches to Clinical Trials Using SAS: Classical, Adaptive, and Bayesian Methods now with the O’Reilly learning platform.
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