Pharmacokinetic parameter estimates from several least squares procedures: Superiority of extended least squares-Reference-Cited by-同舟云学术

Pharmacokinetic parameter estimates from several least squares procedures: Superiority of extended least squares

Published:1985-04 Issue:2 Volume:13 Page:185-201
ISSN:0090-466X
Container-title:Journal of Pharmacokinetics and Biopharmaceutics
language:en
Short-container-title:Journal of Pharmacokinetics and Biopharmaceutics

Author:

Sheiner Lewis B.,Beal Stuart L.

Publisher

Springer Science and Business Media LLC

Subject

Pharmacology (medical),General Pharmacology, Toxicology and Pharmaceutics

Link

http://link.springer.com/content/pdf/10.1007/BF01059398.pdf

Reference24 articles.

1. S. L. Beal. Adaptive M estimation with independent not identically distributed data. Ph.D. dissertation, University of California, Los Angeles, 1974.

2. C. C. Peck, S. L. Beal, L. B. Sheiner, and A. J. Nichols. Extended least squares nonlinear regression: A possible solution to the choice of weight problem in analysis of individual pharmacokinetic data.J. Pharmacokin. Biopharm. 12:545–558 (1984).

3. L. B. Sheiner and S. L. Beal. Evaluation of methods for estimating population pharmacokinetic parameters. I. Michaelis-Menten model; routine clinical pharmacokinetic data.J. Pharmacokin. Biopharm. 8:553–571 (1980).

4. L. B. Sheiner and S. L. Beal. Evaluation of methods for estimating population pharmacokinetic parameters. II. Biexponential model; experimental pharmacokinetic data.J. Pharmacokin. Biopharm. 9:635–651 (1981).

5. L. B. Sheiner and S. L. Beal. Evaluation of methods for estimating population pharmacokinetic parameters. III. Monoexponential model: routine clinical pharmacokinetic data.J. Pharmacokin. Biopharm. 11:303–319 (1983).

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