Likelihood based approaches to handling data below the quantification limit using NONMEM VI

Author:

Ahn Jae Eun,Karlsson Mats O.,Dunne Adrian,Ludden Thomas M.

Publisher

Springer Science and Business Media LLC

Subject

Pharmacology

Reference10 articles.

1. http://www.cognigencorp.com/nonmem/nm/99aug072006.html ; http://www.cognigencorp.com/nonmem/nm/99jul142005.html ; http://www.cognigencorp.com/nonmem/nm/99oct041999.html ; http://www.cognigencorp.com/nonmem/nm/99jul301999.html ; http://www.cognigencorp.com/nonmem/nm/99may201997.html ; http://www.boomer.org/pkin/PK02/PK2002364.html . Assessed 26 May 2008

2. Wakefield J, Racine-Poon A (1995) An application of Bayesian population pharmacokinetic/pharmacodynamic models to dose recommendation. Stat Med 14: 971–986 doi: 10.1002/sim.4780140917

3. Bennett JE, Racine-Poon A, Wakefield JC (1996) MCMC for nonlinear hierarchical models. In: Gilks WR, Richardson S, Spiegelhalter DJ (eds) Markov chain Monte Carlo in practice. Chapman & Hall/CRC

4. Beal SL (2001) Ways to fit a PK model with some data below the quantification limit. J Pharmacokinet Pharmacodyn 28: 481–504 doi: 10.1023/A:1012299115260

5. Beal SL, Sheiner LB, Boeckmann AJ (eds) (1989–2006) NONMEM users guides. ICON Development Solutions, Ellicott City, MD

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