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).