Impact of Omission or Replacement of Data Below the Limit of Quantification on Parameter Estimates in a Two-Compartment Model

被引：0
|
作者：
Vincent Duval
Mats O. Karlsson
机构：
[1] IRIS,Department of Clinical Pharmacokinetics
[2] Uppsala University,Division of Pharmacokinetics and Drug Therapy, Department of Pharmaceutical Biosciences, Faculty of Pharmacy
来源：
Pharmaceutical Research | 2002年 / 19卷
关键词：
NONMEM; pharmacokinetics; limit of quantification; parameter estimates; bias;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Purpose. To evaluate the influence of omission and replacement approaches for data below the limit of quantification (LOQ) on the estimation of pharmacokinetic parameters for two-compartment models when using nonlinear mixed-effect models.
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页码：1835 / 1840
页数：5
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