Performance and Robustness of the Monte Carlo Importance Sampling Algorithm Using Parallelized S-ADAPT for Basic and Complex Mechanistic Models
Author:
Publisher
Springer Science and Business Media LLC
Subject
Pharmaceutical Science
Link
http://link.springer.com/content/pdf/10.1208/s12248-011-9258-9.pdf
Reference53 articles.
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5. Wang X, Schumitzky A, D’Argenio DZ. Nonlinear random effects mixture models: maximum likelihood estimation via the EM algorithm. Comput Stat Data Anal. 2007;51:6614–23.
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