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.
journal_name
Biometricsjournal_title
Biometricsauthors
Lee ML,Whitmore GAdoi
10.1111/j.0006-341x.1999.01215.xsubject
Has Abstractpub_date
1999-12-01 00:00:00pages
1215-20issue
4eissn
0006-341Xissn
1541-0420journal_volume
55pub_type
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