Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/21211
Title: Application of the Vertex Exchange Method to estimate a semi-parametric mixture model for the MIC density of Escherichia coli isolates tested for susceptibility against ampicillin
Authors: Jaspers, Stijn 
Verbeke, Geert 
Böhning, Dankmar
Aerts, Marc 
Issue Date: 2016
Source: BIOSTATISTICS, 17 (1), p. 94-107
Abstract: In the last decades, considerable attention has been paid to the collection of antimicrobial resistance data, with the aim of monitoring non-wild-type isolates. This monitoring is performed based on minimum inhibition concentration (MIC) values, which are collected through dilution experiments. We present a semiparametric mixture model to estimate the entire MIC density on the continuous scale. The parametric first component is extended with a non-parametric second component and a new back-fitting algorithm, based on the Vertex Exchange Method, is proposed. Our data example shows how to estimate the MIC density for Escherichia coli tested for ampicillin and how to use this estimate for model-based classification. A simulation study was performed, showing the promising behavior of the new method, both in terms of density estimation as well as classification.
Keywords: antimicrobial resistance; censoring; model-based classification; semi-parametric; Vertex Exchange Method
Document URI: http://hdl.handle.net/1942/21211
ISSN: 1465-4644
e-ISSN: 1468-4357
DOI: 10.1093/biostatistics/kxv030
ISI #: 000369073300008
Rights: © The Author 2015. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
Category: A1
Type: Journal Contribution
Validations: ecoom 2017
Appears in Collections:Research publications

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