Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/105470
DC Field | Value | |
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dc.title | Discretization approach and nonparametric modeling for long-term HIV dynamic model | |
dc.contributor.author | Chen, J. | |
dc.contributor.author | Zhang, J.-T. | |
dc.contributor.author | Wu, H. | |
dc.date.accessioned | 2014-10-28T05:16:36Z | |
dc.date.available | 2014-10-28T05:16:36Z | |
dc.date.issued | 2005 | |
dc.identifier.citation | Chen, J.,Zhang, J.-T.,Wu, H. (2005). Discretization approach and nonparametric modeling for long-term HIV dynamic model. Lecture Notes in Computer Science 3483 (IV) : 519-527. ScholarBank@NUS Repository. | |
dc.identifier.issn | 03029743 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/105470 | |
dc.description.abstract | Modeling viral load response in long-term HIV dynamics is important for AIDS clinical study. It allows one to examine how a patient recuperates for an antiviral treatment. This paper investigates a discretization approach to the viral load based on a long-term HIV dynamic model. We propose a two-stage nonparametric procedure for estimating the viral load and the time-varying new productive virus. Simulation study shows that the proposed estimated methods are efficient and powerful for fitting long-term viral load measurements. © Springer-Verlag Berlin Heidelberg 2005. | |
dc.source | Scopus | |
dc.type | Conference Paper | |
dc.contributor.department | STATISTICS & APPLIED PROBABILITY | |
dc.description.sourcetitle | Lecture Notes in Computer Science | |
dc.description.volume | 3483 | |
dc.description.issue | IV | |
dc.description.page | 519-527 | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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