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M9470103.TXT
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1994-07-02
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Document 0103
DOCN M9470103
TI Dilution assay statistics.
DT 9409
AU Myers LE; McQuay LJ; Hollinger FB; Research Triangle Institute, Research
Triangle Park, North; Carolina 27709.
SO J Clin Microbiol. 1994 Mar;32(3):732-9. Unique Identifier : AIDSLINE
MED/94253340
AB A parametric method of statistical analysis for dilution assays is
developed in detail from first principles of probability and statistics.
The method is based on a simple product binomial model for the
experiment and produces an estimate for the concentration of target
entities, a confidence interval for this concentration, and an indicator
of the quality of the assay called the p value for goodness of fit. The
procedure is illustrated with data from a virologic quantitative
micrococulture assay used to quantify free human immunodeficiency virus
in clinical trials. The merits of the procedure versus those of
nonparametric methods of estimating the dilution inducing a 50% response
rate are discussed. Advantages of the proposed approach include
plausibility of the underlying assumptions, ability to assess
plausibility of specific experimental outcomes through their likelihood,
and plausibility of confidence intervals.
DE *Biometry Confidence Intervals Human HIV Core Protein p24/BLOOD HIV
Infections/MICROBIOLOGY Likelihood Functions Microbiological
Techniques/*STATISTICS & NUMER DATA Models, Statistical Multicenter
Studies/STATISTICS & NUMER DATA Probability Support, U.S. Gov't,
P.H.S. Virology/METHODS/STATISTICS & NUMER DATA JOURNAL ARTICLE
SOURCE: National Library of Medicine. NOTICE: This material may be
protected by Copyright Law (Title 17, U.S.Code).