Recommended reading in population pharmacokinetic pharmacodynamics

被引：32

作者：

Bonate P.L. ^{[1
]}

机构：

[1] Genzyme Oncology, San Antonio, TX 78229

来源：

The AAPS Journal | / 7卷 / 2期

关键词：

First-order approximation; Influential articles; NONMEM; Review;

D O I：

10.1208/aapsj070237

中图分类号：

学科分类号：

摘要：

Developing the skills or expertise to create useful population pharmacokinetic-pharmacodynamic models can be a daunting task-the level of mathematical and statistical complexity is such that newcomers to the field are frequently overwhelmed. A good place to start in learning the field is to read articles in the literature. However, the number of articles dealing with population pharmacokinetic pharmacodynamics is exponentially increasing on a yearly basis, so choosing which articles to read can be difficult. The purpose of this review is to provide a recommended reading list for newcomers to the field. The list was chosen based on perceived impact of the article in the field, the quality of the article, or to highlight some important detail contained within the article. After reading the articles in the list, it is believed that the reader will have a broad overview of the field and have a sound foundation for more-detailed reading of the literature. Copyright ©2003. All Rights Reserved.

引用

页码：E363 / E373

页数：10

共 42 条

[1]

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[2]

Sheiner L.B., Beal S.L., Evaluation of methods for estimating population pharmacokinetic parameters. II. Biexponential model and experimental pharmacokinetic data, J Pharmacokinet Biopharm., 9, pp. 635-651, (1981)

[3]

Sheiner L.B., Beal S.L., Evaluation of methods for estimating population pharmacokinetic parameters. III. Monoexponential model: Routine pharmacokinetic data, J Pharmacokinet Biopharm., 11, pp. 303-319, (1982)

[4]

Sheiner L.B., Beal S.L., Evaluation of methods for estimating population pharmacokinetics parameters. I. Michaelis-Menten model: Routine clinical pharmacokinetic data, J Pharmacokinet Biopharm., 8, pp. 553-571, (1980)

[5]

Peck C.C., Beal S.L., Sheiner L.B., Nichols A.I., Extended least squares nonlinear regression: A possible solution to the "choice of weights" Problem in analysis of individual pharmacokinetic data, J Pharmacokinet Biopharm., 12, pp. 545-558, (1984)

[6]

Sheiner L.B., Beal S.L., Pharmacokinetic parameter estimates from several least squares procedures: Superiority of extended least squares, J Pharmacokinet Biopharm., 13, pp. 185-201, (1985)

[7]

Vozeh S., Katz G., Steiner V., Follath F., Population pharmacokinetic parameters in patients treated with oral mexiletine, Eur J Clin Pharmacol., 23, pp. 445-451, (1982)

[8]

Grasela T.H., Sheiner L.B., Population pharmacokinetics of procainamide from routine clinical data, Clin Pharmacokinet., 9, pp. 545-554, (1984)

[9]

Grasela T., Donn S.M., Neonatal population pharmacokinetics for phenobarbital derived from routine clinical data, Dev Pharmacol Ther., 8, pp. 374-383, (1985)

[10]

Grasela T.H., Antal E.J., Ereshefsky L., Wells B.G., Evans R.L., Smith R.B., An evaluation of population pharmacokinetics in therapeutic trials. Part II. Detection of a drug-drug interaction, Clin Pharmacol Ther., 42, pp. 433-441, (1987)

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