دورية أكاديمية

Guidelines for improving statistical analyses of validation datasets for plant pest diagnostic tests

التفاصيل البيبلوغرافية
العنوان: Guidelines for improving statistical analyses of validation datasets for plant pest diagnostic tests
المؤلفون: Massart, Sébastien, Lebas, Benedicte, Chabirand, Aude, Chappé, Anne-Marie, Dreo, Tanja, Faggioli, Francesco, Harrison, Catherine, Macarthur, Roy, Mehle, Natasha, Mezzalama, Monica, Petter, Françoise, Ravnikar, Maja, Renvoisé, Jean-Philippe, Spadaro, Davide, Tomassoli, Laura, Tomlinson, Jenny, Trontin, Charlotte, van der Vlugt, René, Vučurović, Ana, Weekes, Rebecca, Brostaux, Yves
المصدر: EPPO Bulletin, 52 (2), 419 - 433 (2022-08)
بيانات النشر: John Wiley and Sons Inc, 2022.
سنة النشر: 2022
مصطلحات موضوعية: Agronomy and Crop Science, Plant Science, Horticulture, Life sciences, Biochemistry, biophysics & molecular biology, Sciences du vivant, Biochimie, biophysique & biologie moléculaire
الوصف: 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.
نوع الوثيقة: journal article
http://purl.org/coar/resource_type/c_6501
article
peer reviewed
اللغة: English
Relation: https://onlinelibrary.wiley.com/doi/pdf/10.1111/epp.12862; urn:issn:0250-8052; urn:issn:1365-2338
DOI: 10.1111/epp.12862
URL الوصول: https://orbi.uliege.be/handle/2268/294842
حقوق: open access
http://purl.org/coar/access_right/c_abf2
info:eu-repo/semantics/openAccess
رقم الأكسشن: edsorb.294842
قاعدة البيانات: ORBi