Comparing the performance of first-order conditional estimation (FOCE) and different expectation–maximization (EM) methods in NONMEM: real data experience with complex nonlinear parent-metabolite pharmacokinetic model-Reference-Cited by-同舟云学术

Comparing the performance of first-order conditional estimation (FOCE) and different expectation–maximization (EM) methods in NONMEM: real data experience with complex nonlinear parent-metabolite pharmacokinetic model

Published:2021-04-21 Issue: Volume: Page:
ISSN:1567-567X
Container-title:Journal of Pharmacokinetics and Pharmacodynamics
language:en
Short-container-title:J Pharmacokinet Pharmacodyn

Author:

Bach Thanh,An Guohua

Funder

National Institutes of Health

Publisher

Springer Science and Business Media LLC

Subject

Pharmacology

Link

https://link.springer.com/content/pdf/10.1007/s10928-021-09753-0.pdf

Reference17 articles.

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2. Beal S, Sheiner L (1998) NONMEM users guide-Part VII: Conditional estimation methods. NONMEM Project Group, San Francisco

3. Bauer RJ (2017) NONMEM users guide-Introduction to NONMEM 7.4.1. ICON Plc, Dublin

4. Bauer RJ, Guzy S, Ng C (2007) A survey of population analysis methods and software for complex pharmacokinetic and pharmacodynamic models with examples. AAPS J 9(1):E60-83. https://doi.org/10.1208/aapsj0901007

5. Gibiansky L, Gibiansky E, Bauer R (2012) Comparison of Nonmem 7.2 estimation methods and parallel processing efficiency on a target-mediated drug disposition model. J Pharmacokinet Pharmacodyn 39(1):17–35. https://doi.org/10.1007/s10928-011-9228-y

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