DocumentCode
2192061
Title
Sequential Bayesian Design for Estimation of EDp
Author
Tian, Yubin ; Wang, Dianpeng
Author_Institution
Dept. of Math., Beijing Inst. of Technol., Beijing, China
fYear
2009
fDate
17-19 Oct. 2009
Firstpage
1
Lastpage
3
Abstract
Maximum likelihood recursions of Wu can be used to estimate extreme percentiles of a dose-quantal effective curve. For certain choices of initial designs, Wu´s method performs well. In bioassay, there often exist some different initial designs which are known as the up-and-down designs. Based on the existing data set from such a design, we propose three sequential empirical Bayesian designs by quickly and efficiently exploiting the information in the testing data and known knowledge. The improvement obtained by using the new procedures for the estimation of extreme percentiles is substantial.
Keywords
belief networks; biological techniques; Wu method; bioassay; dose-quantal effective curve; maximum likelihood recursions; sequential Bayesian design; sequential empirical Bayesian designs; Bayesian methods; Data mining; Design methodology; Distribution functions; Drugs; Mathematics; Maximum likelihood estimation; Recursive estimation; Sequential analysis; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering and Informatics, 2009. BMEI '09. 2nd International Conference on
Conference_Location
Tianjin
Print_ISBN
978-1-4244-4132-7
Electronic_ISBN
978-1-4244-4134-1
Type
conf
DOI
10.1109/BMEI.2009.5305435
Filename
5305435
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