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http://hdl.handle.net/1942/16117
Title: | Estimation of an MIC distribution using a two-stage semi-parametric mixture model | Authors: | JASPERS, Stijn AERTS, Marc VERBEKE, Geert |
Issue Date: | 2013 | Publisher: | Istituto Poligrafico Europeo | Source: | Muggeo,V.M.R.; Capursi, V.; Boscaino, G.; Lovison G. (Ed.). Proceedings of the 28th International Workshop on Statistical Modelling, Volume.1, p. 191-196 | Abstract: | Antimicrobial resistance has become one of the main public health burdens of the last decades, and monitoring the development and spread of non-wild-type isolates has therefore gained increased interest. Monitoring is performed, based on the Minimum Inhibition Concentration (MIC) values, which are collected through the application of dilution experiments. A semi-parametric mixture model is presented, which is able to estimate the full continuous MIC distribution. The model is based on an extended and censored-adjusted version of the penalized mixture approach often used in density estimation. A data application and simulation study are presented in which the promising behaviour of the new method is illustrated. | Keywords: | Antimicrobial resistance; Censoring; Penalized mixture approach; Semi-parametric | Document URI: | http://hdl.handle.net/1942/16117 | ISBN: | 978-88-96251-47-8 | Category: | C1 | Type: | Proceedings Paper |
Appears in Collections: | Research publications |
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File | Description | Size | Format | |
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Jaspers_IWSM28.pdf | Peer-reviewed author version | 321.42 kB | Adobe PDF | View/Open |
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