Bayesian latent class analysis produced diagnostic accuracy estimates that were more interpretable than composite reference standards for extrapulmonary tuberculosis tests.

MacLean, Emily L; Kohli, Mikashmi; Köppel, Lisa; Schiller, Ian; Sharma, Surendra K; Pai, Madhukar; Denkinger, Claudia M; Dendukuri, Nandini

MacLean, Emily L; Kohli, Mikashmi; Köppel, Lisa; Schiller, Ian; Sharma, Surendra K; Pai, Madhukar; Denkinger, Claudia M; Dendukuri, Nandini.

Afiliación

MacLean EL; McGill International TB Centre, Research Institute of the McGill University Health Centre, Montréal, Canada.
Kohli M; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Canada.
Köppel L; FIND, Geneva, Switzerland.
Schiller I; Division of Tropical Medicine, Center of Infectious Diseases, Heidelberg University, Heidelberg, Germany.
Sharma SK; Department of Medicine, McGill University Health Centre, Montréal, Canada.
Pai M; Department of Medicine, All India Institute of Medical Sciences, New Delhi, India.
Denkinger CM; McGill International TB Centre, Research Institute of the McGill University Health Centre, Montréal, Canada.
Dendukuri N; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Canada.

Diagn Progn Res ; 6(1): 11, 2022 Jun 16.

Article en En | MEDLINE | ID: mdl-35706064

Palabras clave

Bayes theorem; Sensitivity and specificity; Tuberculosis lymphadenitis; Tuberculosis meningitis; Tuberculosis pleuritis

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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Diagn Progn Res Año: 2022 Tipo del documento: Article

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