| Literature DB >> 19943329 |
Daniel Zelterman1, Alexander Tulupyev, Robert Heimer, Nadia Abdala.
Abstract
We describe statistical plans for a serial dilution series designed to detect and estimate the number of viral particles in a solution. The design addresses a problem when a very limited number of aliquots are available for proliferation. A gamma prior distribution on the number of viral particles allows us to describe the marginal probability distribution of all experimental outcomes. We examine a design that minimizes the expected reciprocal information and compare this with the maximum entropy design. We argue that the maximum entropy design is more useful from the point of view of the laboratory technician. The problem and design are motivated by our study of the viability of human immunodeficiency virus in syringes and other equipment that might mediate blood-borne viral transmission. (c) 2009 John Wiley & Sons, Ltd.Entities:
Mesh:
Year: 2010 PMID: 19943329 PMCID: PMC3113538 DOI: 10.1002/sim.3774
Source DB: PubMed Journal: Stat Med ISSN: 0277-6715 Impact factor: 2.373