Statistical inference for serial dilution assay data
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Updated: Oct 2, 2026

A Small Volume Procedure for Viral Concentration from Water
Published on: February 3, 2015
1Channing Laboratory, Brigham and Women's Hospital, and Harvard Medical School, Boston, Massachusetts 02115, USA. meiling@channing.harvard.edu
Abstract:
Serial dilution assays are widely employed for estimating substance concentrations and minimum inhibitory concentrations. The Poisson-Bernoulli model for such assays is appropriate for count data but not for continuous measurements that are encountered in applications involving substance concentrations. This paper presents practical inference methods based on a log-normal model and illustrates these methods using a case application involving bacterial toxins.
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