1999/12/01 by Mei‐Ling Ting Lee, G. A. Whitmore, G. À. Whitmore · 2 citations
Mathematics · Decision Sciences · #Statistical Methods and Bayesian Inference #Statistical Methods in Clinical Trials #Advanced Statistical Process Monitoring
paper · doi:10.1111/j.0006-341x.1999.01215.x
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.