Multiple-dose design and bias-reducing methods for limiting dilution assays

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Strijbosch, L.W.G. and Does, R.J.M.M. and Albers, W. (1990) Multiple-dose design and bias-reducing methods for limiting dilution assays. Statistica Neerlandica, 44 (4). pp. 241-261. ISSN 0039-0402

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Abstract:This paper gives an overview of several (mostly recent) statistical contributions to the theory of Limiting and Serial Dilution Assays (LDA's, SDA's). A simple and useful method is presented for the setup of a design for an LDA or an SDA. This method is based on several user-supplied design parameters, consisting in the researcher's advance information and other parameters inherent to the particular problem. The commonly used Maximum Likelihood (ML) and Minimum Chi-square methods for the estimation of the unknown parameter in an LDA or an SDA are described and compared to several bias-reducing estimation methods, e.g. jackknife and bootstrap versions of the ML method. One particular jackknife version is recommended.
Item Type:Article
Copyright:© 1990 Wiley InterScience
Faculty:
Electrical Engineering, Mathematics and Computer Science (EEMCS)
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Link to this item:http://purl.utwente.nl/publications/70894
Official URL:http://dx.doi.org/10.1111/j.1467-9574.1990.tb01284.x
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