共 44 条
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.
引用
收藏
页码:1835 / 1840
页数:5
相关论文