title: 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.
authors.affiliation: UCD School of Mathematical Sciences, University College Dublin, Belfield, Dublin 4, Ireland. clare.gaynor@ucd.ie
authors.forename: Clare
authors.initials: C
authors.lastname: Gaynor
authors.forename: Adrian
authors.initials: A
authors.lastname: Dunne
authors.forename: John
authors.initials: J
authors.lastname: Davis
mesh_terms: D000465:Algorithms; D002626:Chemistry, Pharmaceutical; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D005544:Forecasting; D007408:Intestinal Absorption; D007700:Kinetics; D008954:Models, Biological; D015233:Models, Statistical; D004364:Pharmaceutical Preparations / Q000737:chemistry / Q000378:metabolism; D010599:Pharmacokinetics; D012984:Software; D012995:Solubility; D013607:Tablets
chemical_list: D004364:Pharmaceutical Preparations; D013607:Tablets