Optimization issues in physiological toxicokinetic modeling: a case study with benzene.

Abstract:

:This paper compares two methods for global optimization of physiologically based toxicokinetic models: Monte Carlo optimization, which searches randomly for the optimum; and the simplex method, which updates systematically an array of parameter values. Two measures of goodness-of-fit are also contrasted: criterion function and likelihood. A 14-parameter model of benzene distribution in rats is used to illustrate these techniques. Simplex optimization yields better fits overall. However, the measurement of uncertainty offered by Monte Carlo simulations is a major argument in favor of their use.

journal_name

Toxicol Lett

journal_title

Toxicology letters

authors

Woodruff TJ,Bois FY

doi

10.1016/0378-4274(93)90103-5

subject

Has Abstract

pub_date

1993-08-01 00:00:00

pages

181-96

issue

2

eissn

0378-4274

issn

1879-3169

pii

0378-4274(93)90103-5

journal_volume

69

pub_type

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