Abstract #302375

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JSM 2003 Abstract #302375
Activity Number: 473
Type: Contributed
Date/Time: Thursday, August 7, 2003 : 10:30 AM to 12:20 PM
Sponsor: Biopharmaceutical Section
Abstract - #302375
Title: Hybrid Methods for Analysis Dose-Reponse Data
Author(s): Calvin Lawrence Williams*+
Companies: Clemson University
Address: Dept. of Mathematical Sciences, Clemson, SC, 29634-0001,
Keywords:
Abstract:

We study a new model for the statistical analysis of dose-response data in cytogenetic dosimetry. There are several methods that rely on truncation methods as well as methods that rely on Poisson regression methods with determining the effect of zero count categories, both zero-inflated and zero-truncated methods. We consider new hybrid methods that consider each of the methods. In application, we consider data from Tice, et al. (1987) on the genotoxic effects on mice exposed by inhalation to the industrial chemical 1,3-butadiene and data from Balasem and Ali (1991) where the data consists of frequencies of binucleated cells divided into three categories, namely cells with zero, one and two or more numbers of micronuclei after exposure to different levels of radiation.

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