Guidelines for improving statistical analyses of validation datasets for plant pest diagnostic tests-Reference-Cited by-同舟云学术

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

Published:2022-08 Issue:2 Volume:52 Page:419-433
ISSN:0250-8052
Container-title:EPPO Bulletin
language:en
Short-container-title:EPPO Bulletin

Author:

Massart Sebastien¹,Lebas Benedicte¹,Chabirand Aude²,Chappé Anne‐Marie³,Dreo Tanja⁴,Faggioli Francesco⁵,Harrison Catherine⁶,Macarthur Roy⁶,Mehle Natasha⁴⁷,Mezzalama Monica⁸,Petter Françoise⁹,Ravnikar Maja⁴,Renvoisé Jean‐Philippe¹⁰,Spadaro Davide⁸,Tomassoli Laura⁵,Tomlinson Jenny⁶,Trontin Charlotte¹⁰,van der Vlugt René¹¹,Vučurović Ana⁴,Weekes Rebecca⁸,Brostaux Yves¹²

Affiliation:

1. Gembloux Agro‐Bio Tech, TERRA, Laboratory of Plant Pathology University of Liège Liège Belgium

2. Pests and Tropical Pathogens Unit ANSES Plant Health Laboratory Saint Pierre France

3. Nematology Unit ANSES Plant Health Laboratory Le Rheu France

4. National Institute of Biology Ljubljana Slovenia

5. Consiglio per la Ricerca in Agricoltura e l'analisi dell'economia agraria – Centro di Ricerca Difesa e Certificazione Roma Italy

6. Fera Science Ltd York UK

7. School for Viticulture and Enology University of Nova Gorica Vipava Slovenia

8. 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

9. European and Mediterranean Plant Protection Organization Paris France

10. Quarantine Unit ANSES, Plant Health Laboratory Clermont‐Ferrand France

11. Wageningen University and Research Wageningen The Netherlands

12. Gembloux Agro‐Bio Tech University of Liège, TERRA Liège Belgium

Publisher

Wiley

Subject

Horticulture,Plant Science,Agronomy and Crop Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/epp.12862

Reference28 articles.

1. Approximate Is Better than "Exact" for Interval Estimation of Binomial Proportions