作者: Lewis B. Sheiner , Stuart L. Beal
DOI: 10.1007/BF01061870
关键词: NONMEM 、 Data set 、 Population 、 Statistics 、 Estimation theory 、 Mathematics 、 Econometrics 、 Observational error 、 Pharmacokinetics 、 Clinical pharmacokinetic 、 Residual
摘要: Individual pharmacokinetic parameters quantify the pharmacokinetics of an individual, while population mean kinetics, interindividual kinetic variability, and residual including intraindividual variability measurement error. are estimated by fitting a model to individual data. Population have traditionally been doing this separately for each then combining parameter estimates, Standard Two Stage (STS) approach. Another approach, NONMEM, appropriately pools data across individuals is therefore less dependent on estimates. This study provides further evidence NONMEM's validity usefulness comparing both approaches simulated routine-type arising from monoexponential model. The estimates (notably those describing variability) provided STS method poorer than especially when there considerable Further, do not require that be restricted special types routine such as obtained only at steady state, or peak trough, nor improve with improve, however, set enhanced addition single-observation-per-individual type Thus, can efficiently simulate real clinical conditions.