The effects of averaging on accuracy of IVIVC model predictions

Abstract

When using the method of deconvolution to establish an IVIVC model, the choice of whether or not to average the data before analysis is a crucial one. Averaging the data leads to a loss of information and current advice on best practise suggests that deconvolution take place at the individual subject level. This study compares each approach and concludes that averaging has a detrimental effect on the accuracy of predictions produced.