It has been demonstrated that the existing FDA dose content uniformity test has very poor statistical relevance, which has resulted in the acceptance of poor quality batches and the rejection of good quality batches. By using Bayesian Inference, a much improved test has been produced that allows the quality of a batch of drug product to be determined accurately, using a suitable number of samples for the quality of the batch.
