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Activity Number: 410
Type: Topic Contributed
Date/Time: Wednesday, August 5, 2009 : 8:30 AM to 10:20 AM
Sponsor: Section on Bayesian Statistical Science
Abstract - #305755
Title: Bayesian Model for a Dual-Color Tag System for Investigating Virus-Virus Interactions
Author(s): Douglas A. Noe*+ and Jing Zhang and Stephen E. Wright and A. John Bailer
Companies: Miami University and Miami University and Miami University and Miami University
Address: Department of Statistics, Oxford, OH, 45056,
Keywords: viral infectivity ; Bayesian model
Abstract:

A test system has been developed for staining cells to detect whether the cells have been infected by one or more viruses. A distinction between the states of viral infectivity (virus 1 infection, virus 2 infection, both virus 1 and 2 infection, no infection) leads to a multinomial framework in which cell probabilities can be defined in terms of attack rates and a possible window of time in which a cell might be infected by both viruses. This framework is developed and used to develop a test of virus infectivity equivalence between two cell lines.

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