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
Link To Document :
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