Premium
Multiple‐dose design and bias‐reducing methods for limiting dilution assays
Author(s) -
Strijbosch L.W.G.,
Does R.J.M.M.,
Albers W.
Publication year - 1990
Publication title -
statistica neerlandica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.52
H-Index - 39
eISSN - 1467-9574
pISSN - 0039-0402
DOI - 10.1111/j.1467-9574.1990.tb01284.x
Subject(s) - jackknife resampling , limiting , statistics , computer science , simple (philosophy) , mathematics , maximum likelihood , algorithm , engineering , mechanical engineering , philosophy , epistemology , estimator
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.