Identification of the minimum effective dose for normally distributed data using a Bayesian variable selection approach
Identification of the minimum effective dose for normally distributed data using a Bayesian variable selection approach
The identification of the minimum effective dose is of high importance in the drug development process. In early stage screening experiments, establishing the minimum effective dose can be translated into a model selection based on information criteria. The presented alternative, Bayesian variable selection approach, allows for selection of the minimum …