Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
469331 | Computer Methods and Programs in Biomedicine | 2009 | 14 Pages |
Abstract
An implementation of the Expectation-Maximisation (EM) algorithm in ACSLXTREME (AEGIS Technologies) for the analyses of population pharmacokinetic–pharmacodynamic (PKPD) data is demonstrated. The parameter estimation results are compared with those from NONMEM (Globomax) using the first order conditional estimate method. The estimates are comparable and it is concluded that the EM algorithm is a useful technique in population pharmacokinetic–pharmacodynamic modelling. The implementation also demonstrates the ease with which parameter estimation algorithms for population data can be implemented in simulation software packages.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
James W.T. Yates,