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Bayesian forecasting of serum lithium concentrations. Comparison with traditional methods.

作者信息

Williams P J, Browne J L, Patel R A

机构信息

University of the Pacific School of Pharmacy, Stockton, California.

出版信息

Clin Pharmacokinet. 1989 Jul;17(1):45-52. doi: 10.2165/00003088-198917010-00004.

DOI:10.2165/00003088-198917010-00004
PMID:2501054
Abstract

Twelve pharmacokinetic methods of estimating lithium maintenance dosage requirements were compared in 21 patients with bipolar illness. Methods which were compared included the single- and multiple-point methods of Perry, 4 non-linear regression and 6 Bayesian methods. The REVOL algorithm was employed for converging on to estimates of clearance and apparent volume of distribution for the non-linear regression and Bayesian methods. Data analysis was based on an evaluation of prediction error as a measure of bias, and absolute prediction error as a measure of precision. In a direct comparison, there were no statistically significant differences in bias or precision between any of the methods.

摘要

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本文引用的文献

1
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10
Comparison of pharmacokinetic procedures for dosing lithium based on analysis of prediction error.基于预测误差分析的锂盐给药药代动力学程序比较
Drug Intell Clin Pharm. 1988 Mar;22(3):227-31. doi: 10.1177/106002808802200310.