Degree Type

Dissertation

Date of Award

2006

Degree Name

Doctor of Philosophy

Department

Statistics

First Advisor

Philip Dixon

Abstract

In toxicology studies, some data sets are dose-time-response data with changing doses over time and death/alive as response. We developed a toxicokinetic-based survival model that relates survivorship and bioaccumulation. The model assumes toxicant uptake and elimination follow a single compartment model and the hazard rate is proportional to the internal concentration. Several diagnostics methods were described for this model to check assumptions of proportional hazard and the functional form of covariates. Maximum likelihood and least square estimation were compared by comparing the estimating equations and a simulation study. The results showed that maximum likelihood is the most unbiased and efficient estimation method for this model.

DOI

https://doi.org/10.31274/rtd-180813-9873

Publisher

Digital Repository @ Iowa State University, http://lib.dr.iastate.edu

Copyright Owner

Xia Xu

Language

en

Proquest ID

AAI3217331

File Format

application/pdf

File Size

95 pages

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