project

Balanced Prior

Research Project

Full description The aim of this study was to develop a Bayesian modelling approach with balancing informative prior so that the influence of imbalance to the overall prediction could be minimised. The new approach was developed in order to weigh the data in favour of the smaller subset(s). The method was further evaluated in a motivating example of optimal dosage prediction of tobramycin. This data set contains the demographics and the pharmacokinetic parameters used in this project.

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