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.
Original language | English |
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Title of host publication | Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009 |
DOIs | |
Publication status | Published - 2009 |
Event | 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009 - Tianjin, China Duration: 17 Oct 2009 → 19 Oct 2009 |
Publication series
Name | Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009 |
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Conference
Conference | 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009 |
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Country/Territory | China |
City | Tianjin |
Period | 17/10/09 → 19/10/09 |
Keywords
- Bayes estimator
- Bootstrap
- Component
- Percentiles
- Sequential design
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Tian, Y., & Wang, D. (2009). Sequential Bayesian design for estimation of EDp. In Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009 Article 5305435 (Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009). https://doi.org/10.1109/BMEI.2009.5305435