Comparing the performance of first-order conditional estimation (FOCE) and different expectation–max...
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
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New York: Springer US
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English
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New York: Springer US
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First-order conditional estimation (FOCE) has been the most frequently used estimation method in NONMEM, a leading program for population pharmacokinetic/pharmacodynamic modeling. However, with growing data complexity, the performance of FOCE is challenged by long run time, convergence problem and model instability. In NONMEM 7, expectation–maximiz...
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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
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TN_cdi_proquest_journals_2544695420
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2544695420
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1567-567X
E-ISSN
1573-8744
DOI
10.1007/s10928-021-09753-0
