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                                       Details for article 8 of 15 found articles
 
 
  Maximum likelihood estimation from replicate limiting dilution assays from a binomial markov chain model
 
 
Title: Maximum likelihood estimation from replicate limiting dilution assays from a binomial markov chain model
Author: Ran, Shiaohong
Lansky, David
Roth, Arthur
Appeared in: Communications in statistics
Paging: Volume 27 (1998) nr. 4 pages 889-903
Year: 1998
Contents: The limiting dilution assay is often used to estimate the concentration of a certain kind of cell or the titer of a virus in a sample. Balch et al. (1994) exploited a Markov Chain model of the limiting dilution assay to develop a maximum likelihood estimate based on the extinction time. We extend these results to address: 1) a finite number of assay wells, 2) optional discard of material from the last assay well, and 3) maximum likelihood for multiple assays. The results on multiple assays suggest that substantial replication is needed (n ≥5) before assay results become useful.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 8 of 15 found articles
 
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