Franklin

Disease diagnosis from immunoassays with plate to plate variability [electronic resource].

Author/Creator:
Entine, Oliver.
Format/Description:
Book
72 p.
Contained In:
Dissertation Abstracts International 74-03B(E).

Options
Location Notes Your Loan Policy

Details

Subjects:
Epidemiology.
Statistics.
Biometry.
Local subjects:
Biology, Biostatistics. (search)
Statistics. (search)
Health Sciences, Epidemiology. (search)
Penn dissertations -- Statistics. (search)
Statistics -- Penn dissertations. (search)
System Details:
Mode of access: World Wide Web.
Summary:
The standard methods of diagnosing disease based on antibody microtiter plates are quite crude. Few methods create a rigorous underlying model for the antibody levels of populations consisting of a mixture of positive and negative subjects, and fewer make full use of the entirety of the available data for diagnoses. In this paper, we propose a Bayesian hierarchical model that provides a systematic way of pooling data across different plates, and accounts for the subtle sources of variations that occur in the optical densities of typical microtiter data. In addition to our Bayesian method having good frequentist properties, we find that our method outperforms one of the standard crude approaches (the "3SD Rule") under reasonable assumptions, and provides more accurate disease diagnoses in terms of both sensitivity and specificity.
Notes:
Thesis (Ph.D. in Statistics ) -- University of Pennsylvania, 2012.
Source: Dissertation Abstracts International, Volume: 74-03(E), Section: B.
Adviser: Dylan Small.
Local notes:
School code: 0175.
Contributor:
Jensen, Shane T. committee member
Levy, Michael Z. committee member
Small, Dylan, advisor
University of Pennsylvania. Statistics.
ISBN:
9781267712714
Access Restriction:
Restricted for use by site license.