Article (Scientific journals)
Guidelines for improving statistical analyses of validation datasets for plant pest diagnostic tests
Massart, Sébastien; Lebas, Benedicte; Chabirand, Aude et al.
2022In EPPO Bulletin, 52 (2), p. 419 - 433
Peer reviewed
 

Files


Full Text
N°786-Massart 2022.pdf
Author postprint (611.44 kB)
Download

All documents in ORBi are protected by a user license.

Send to



Details



Keywords :
Agronomy and Crop Science; Plant Science; Horticulture
Abstract :
[en] Appropriate statistical analysis of the validation data for diagnostic tests facilitates the evaluation of the performance criteria and increases the confidence in the conclusions drawn from these data. A comprehensive approach to analysing and reporting data from validation studies and inter-laboratory comparisons such as test performance studies is described. The proposed methods, including statistical analyses, presentation and interpretation of the data, are illustrated using a real dataset generated during a test performance study conducted in the framework of the European project, VALITEST. This analytical approach uses, wherever possible and whenever applicable, statistical analyses recommended by international standards illustrating their application to plant health diagnostic tests. The present work is addressed to plant health diagnosticians and researchers interested and/or involved in the validation of plant diagnostic tests, and also aims to convey the necessary information to those without a statistical background. Detailed statistical explanations are provided in the Appendices.
Disciplines :
Biochemistry, biophysics & molecular biology
Author, co-author :
Massart, Sébastien  ;  Université de Liège - ULiège > TERRA Research Centre > Gestion durable des bio-agresseurs
Lebas, Benedicte;  Gembloux Agro-Bio Tech, TERRA, Laboratory of Plant Pathology, University of Liège, Liège, Belgium
Chabirand, Aude;  Pests and Tropical Pathogens Unit, ANSES Plant Health Laboratory, Saint Pierre, France
Chappé, Anne-Marie;  Nematology Unit, ANSES Plant Health Laboratory, Le Rheu, France
Dreo, Tanja;  National Institute of Biology, Ljubljana, Slovenia
Faggioli, Francesco;  Consiglio per la Ricerca in Agricoltura e l'analisi dell'economia agraria – Centro di Ricerca Difesa e Certificazione, Roma, Italy
Harrison, Catherine;  Fera Science Ltd, York, United Kingdom
Macarthur, Roy;  Fera Science Ltd, York, United Kingdom
Mehle, Natasha;  National Institute of Biology, Ljubljana, Slovenia ; School for Viticulture and Enology, University of Nova Gorica, Vipava, Slovenia
Mezzalama, Monica;  Department of Agricultural Forest and Food Sciences and AGROINNOVA – Centre of Competence for the Innovation in the Agro-environmental Sector, University of Torino, Turin, Italy
Petter, Françoise;  European and Mediterranean Plant Protection Organization, Paris, France
Ravnikar, Maja;  National Institute of Biology, Ljubljana, Slovenia
Renvoisé, Jean-Philippe;  Quarantine Unit, ANSES, Plant Health Laboratory, Clermont-Ferrand, France
Spadaro, Davide;  Department of Agricultural Forest and Food Sciences and AGROINNOVA – Centre of Competence for the Innovation in the Agro-environmental Sector, University of Torino, Turin, Italy
Tomassoli, Laura;  Consiglio per la Ricerca in Agricoltura e l'analisi dell'economia agraria – Centro di Ricerca Difesa e Certificazione, Roma, Italy
Tomlinson, Jenny;  Fera Science Ltd, York, United Kingdom
Trontin, Charlotte;  Quarantine Unit, ANSES, Plant Health Laboratory, Clermont-Ferrand, France
van der Vlugt, René;  Wageningen University and Research, Wageningen, Netherlands
Vučurović, Ana;  National Institute of Biology, Ljubljana, Slovenia
Weekes, Rebecca;  Department of Agricultural Forest and Food Sciences and AGROINNOVA – Centre of Competence for the Innovation in the Agro-environmental Sector, University of Torino, Turin, Italy
Brostaux, Yves  ;  Université de Liège - ULiège > TERRA Research Centre > Modélisation et développement
More authors (11 more) Less
Language :
English
Title :
Guidelines for improving statistical analyses of validation datasets for plant pest diagnostic tests
Publication date :
August 2022
Journal title :
EPPO Bulletin
ISSN :
0250-8052
eISSN :
1365-2338
Publisher :
John Wiley and Sons Inc
Volume :
52
Issue :
2
Pages :
419 - 433
Peer reviewed :
Peer reviewed
Funding text :
From the Division of Allergy and Immunology, Department of Medicine (CGB, GMS), and the Department of Pathology (SF), Come, University Medical College, and the Division of Rheumatologya nd Clinical Immunology, Departmento f Medicine( NC), North Shore University Hospital, Cornell University Medical College, New York, New York. This work was supported in part by grants from the NationalI nstitutes of Health, United States Public Health Service( AI \].9080a nd A110811), and the Hyde and Watson Foundation. Requests for reprints should be addressed to Gillian M. Shepherd, M.D., The New York HospitaI-CornellM edicalC enter, 525 East6 8th Street, New York, New York 1002\]. Manuscript submitted January 25, 1989, and accepted in revised form May 18, 1989.
Available on ORBi :
since 19 September 2022

Statistics


Number of views
32 (2 by ULiège)
Number of downloads
84 (0 by ULiège)

Scopus citations®
 
3
Scopus citations®
without self-citations
1
OpenCitations
 
2
OpenAlex citations
 
6

Bibliography


Similar publications



Contact ORBi