Design, statistical analysis and reporting standards for test accuracy studies for infectious diseases in animals: Progress, challenges and recommendations

Ian Gardner, Axel Colling, Matthias Greiner

Research output: Contribution to journalArticle

Abstract

The quality of diagnostic accuracy studies (DAS) for infectious diseases of animals has improved over the last 20 years because of international educational efforts, use of design and reporting standards to guide researchers and test developers, and acceptance of the use of latent class models to account for imperfect reference tests. In this review, we focus on measurement of diagnostic sensitivity and specificity as a measure of clinical validity, describe the leadership role of the World Organisation of Animal Health (OIE) in setting standards for test validation in the context of fitness-for-purpose, and describe how design and reporting quality have facilitated the increased use of systematic reviews and meta-analysis of DAS. Ongoing challenges for design, conduct, analysis and reporting of DAS are identified; and we make recommendations for improvements in these areas for OIE-listed and non-listed infectious diseases.

LanguageEnglish (US)
Pages46-55
Number of pages10
JournalPreventive veterinary medicine
Volume162
DOIs
StatePublished - Jan 1 2019
Externally publishedYes

Fingerprint

infectious diseases
Communicable Diseases
statistical analysis
diagnostic specificity
noninfectious diseases
Meta-Analysis
diagnostic sensitivity
animals
leadership
testing
Research Personnel
systematic review
meta-analysis
Sensitivity and Specificity
animal health
researchers

Keywords

  • Analysis
  • Animal disease
  • Design
  • Quality standards
  • Reporting
  • Sensitivity
  • Specificity
  • Test accuracy

ASJC Scopus subject areas

  • Food Animals
  • Animal Science and Zoology

Cite this

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