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Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/47772
Title: Estimation of the accuracy of two diagnostic methods for the detection of Plum pox virus in nursery blocks by latent class models
Authors: Vidal, E.; Moreno, Aránzazu ; Bertolini, E.; Cambra, Mariano
Keywords: Bayesian approach
Likelihood ratios
Maximum likelihood functions
Post-test probability
Spot real-time RT-PCR
Issue Date: 2012
Publisher: Blackwell Publishing
Citation: Plant Pathology 61: 413-422 (2012)
Abstract: The control of Plum pox virus (PPV), the most important viral disease that affects stone fruit trees, requires the use of reliable detection methods. The effectiveness of spot real-time reverse transcriptase polymerase chain reaction (RT-PCR) for the detection of PPV in samples collected from nursery blocks was compared with a validated PPV detection technique, the double antibody sandwich indirect enzyme-linked immunosorbent assay (DASI-ELISA) using the PPV-specific monoclonal antibody 5B-IVIA ⁄AMR. In total, 5047 nursery plants were analysed by both techniques. The agreement between the techniques was almost perfect (Cohen’s kappa index of 0Æ88 ± 0Æ01). The diagnostic parameters (sensitivity, specificity and likelihood ratios) of both techniques were simultaneously evaluated in 2473 nursery plants by latent class models using maximum likelihood functions and a Bayesian approach. The sensitivity and specificity of both techniques did not vary according to the latent model applied. Spot real-time RT-PCR was more sensitive while DASI-ELISA was more specific for PPV detection. In addition, the findings demonstrate that latent class models are a flexible and potent statistical method to estimate the accuracy of diagnostic tests for plant pathology.
Description: 10 páginas, ilustraciones y tablas estadísticas.
Publisher version (URL): http://dx.doi.org/10.1111/j.1365-3059.2011.02505.x
URI: http://hdl.handle.net/10261/47772
DOI: 10.1111/j.1365-3059.2011.02505.x
ISSN: 1365-3059
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