Literature DB >> 3368680

Descriptive statistical analyses of serial dilution data.

M A Hamilton1, M G Rinaldi.   

Abstract

The serial dilution assay (for example, an in vitro antimicrobic susceptibility test or a serum antibody titer assay) is an important technique in biomedical research. The structure of the experiment forces grouping of the threshold concentrations into intervals. Statistical methods to analyse threshold concentrations from a batch of serial dilution assays should account for the grouping of the data. Many traditional subject area analyses, however, ignore the grouped nature of the data. This article discusses the discrepancy between the traditional subject area approach and the usual statistical approach for analysing such grouped data.

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Year:  1988        PMID: 3368680     DOI: 10.1002/sim.4780070410

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  1 in total

1.  A hierarchical Bayesian latent class mixture model with censorship for detection of linear temporal changes in antibiotic resistance.

Authors:  Min Zhang; Chong Wang; Annette O'Connor
Journal:  PLoS One       Date:  2020-01-31       Impact factor: 3.240

  1 in total

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