Accession Number:

ADA453196

Title:

Probabilistic Methods for Addressing Uncertainty and Variability in Biological Models: Application to a Toxicokinetic Model

Descriptive Note:

Corporate Author:

NORTH CAROLINA STATE UNIV AT RALEIGH CENTER FOR RESEARCH IN SCIENTIFIC COMPUTATION

Personal Author(s):

Report Date:

2002-09-13

Pagination or Media Count:

42.0

Abstract:

Population variability and uncertainty are important features of biological systems that must be considered when developing mathematical models for these systems. In this paper we present probability-based parameter estimation methods that account for such variability and uncertainty. Theoretical results that establish well-posedness and stability for these methods are discussed. A probabilistic parameter estimation technique is then applied to a toxicokinetic model for trichloroethylene using several types of simulated data. Comparison with results obtained using a standard, deterministic parameter estimation method suggests that the probabilistic methods are better able to capture population variability and uncertainty in model parameters. Key words Parameter estimation, biological modeling, population variability, model uncertainty, toxicokinetics, trichloroethylene

Subject Categories:

  • Medicine and Medical Research
  • Toxicology

Distribution Statement:

APPROVED FOR PUBLIC RELEASE