Keeping continuous diagnostic data continuous: Application of Bayesian latent class models in veterinary research.

Yang, D Aaron; Xiao, Xun; Jiang, Ping; Pfeiffer, Dirk U; Laven, Richard A

Yang, D Aaron; Xiao, Xun; Jiang, Ping; Pfeiffer, Dirk U; Laven, Richard A.

Afiliación

Yang DA; College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, China; Centre for Applied One Health Research and Policy Advice, City University of Hong Kong, Kowloon, Hong Kong Special Administrative Region of China. Electronic address: d.a.yang@njau.edu.cn.
Xiao X; Department of Mathematics and Statistics, University of Otago, Dunedin, New Zealand.
Jiang P; College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, China. Electronic address: jiangp@njau.edu.cn.
Pfeiffer DU; Centre for Applied One Health Research and Policy Advice, City University of Hong Kong, Kowloon, Hong Kong Special Administrative Region of China.
Laven RA; School of Veterinary Science, Massey University, Palmerston North, New Zealand.

Prev Vet Med ; 201: 105596, 2022 Apr.

Article en En | MEDLINE | ID: mdl-35220040

Asunto(s)

Análisis de Clases Latentes; Animales; Teorema de Bayes; Ensayo de Inmunoadsorción Enzimática/veterinaria; Prevalencia; Sensibilidad y Especificidad

Palabras clave

Continuous test outcome; Gaussian mixture model; Latent class model; Predicitive probability of infection; Receiver operating characteristic curve

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Análisis de Clases Latentes Tipo de estudio: Diagnostic_studies / Prevalence_studies / Prognostic_studies Límite: Animals Idioma: En Revista: Prev Vet Med Año: 2022 Tipo del documento: Article

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