Bayesian evaluation of clinical diagnostic test characteristics of visual observations and remote monitoring to diagnose bovine respiratory disease in beef calves

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Bayesian evaluation of clinical diagnostic test characteristics of visual observations and remote monitoring to diagnose bovine respiratory disease in beef calves

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作者：Brad J. White^a ; ^b ; ^{bradwhite@precisionanimalsolutions.com" class="auth_mail" title="E-mail the corresponding author} ; Dan R. Goehl^a ; David E. Amrine^d ; Calvin Booker^c ; Brian Wildman^c ; Tye Perrett^c
关键词：BRD ; bovine respiratory disease ; NPV ; negative predictive value ; PI ; probability interval ; PPV ; positive predictive value ; REDI ; remote early disease identification system ; Se ; sensitivity ; Sp ; specificity ; VO ; visual observation
刊名：Preventive Veterinary Medicine
出版年：2016
出版时间：1 April 2016
年：2016
卷：126
期：Complete
页码：74-80
全文大小：857 K

文摘

•: Accurate bovine respiratory disease diagnosis facilitates therapeutic decisions.
•: Bayesian modeling can compare diagnostic characteristics with no gold standard.
•: Remote cattle monitoring had higher sensitivity compared to visual observation.
•: Remote cattle monitoring illustrated higher positive and negative predictive values.