title: [Comparison study of model evaluation methods: normalized prediction distribution errors vs. visual predictive check].
abstract: The objective of this study is to compare the normalized prediction distribution errors (NPDE) and the visual predictive check (VPC) on model evaluation under different study designs. In this study, simulation method was utilized to investigate the capability of NPDE and VPC to evaluate the models. Data from the false models were generated by biased parameter typical value or inaccurate parameter inter-individual variability after single or multiple doses with the same sampling time or multiple doses with varied sampling time, respectively. The results showed that there was no clear statistic test for VPC and it was difficult to make sense of VPC under the multiple doses with varied sampling time. However, there were corresponding statistic tests for NPDE and the factor of study design did not affect NPDE significantly. It suggested that the clinical data and model which VPC was not fit for could be evaluated by NPDE.
authors: State Key Laboratory of Natural and Biomimetic Drugs, Peking University, Beijing 100191, China.
authors: Yu-peng
authors: YP
authors: Ren
authors: Chen-hui
authors: CH
authors: Deng
authors: Xi-pei
authors: XP
authors: Wang
authors: Tian-yan
authors: TY
authors: Zhou
authors: Wei
authors: W
authors: Lu
mesh_terms: D000818:Animals; D003198:Computer Simulation; D006801:Humans; D008954:Models, Biological; D015233:Models, Statistical; D017711:Nonlinear Dynamics; D004364:Pharmaceutical Preparations / Q000008:administration & dosage* / Q000378:metabolism; D010599:Pharmacokinetics; D011237:Predictive Value of Tests; D012984:Software
chemical_list: D004364:Pharmaceutical Preparations