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pro vyhledávání: '"Emily L. MacLean"'
Autor:
Emily L. MacLean, Mikashmi Kohli, Lisa Köppel, Ian Schiller, Surendra K. Sharma, Madhukar Pai, Claudia M. Denkinger, Nandini Dendukuri
Publikováno v:
Diagnostic and Prognostic Research, Vol 6, Iss 1, Pp 1-10 (2022)
Abstract Background Evaluating the accuracy of extrapulmonary tuberculosis (TB) tests is challenging due to lack of a gold standard. Latent class analysis (LCA), a statistical modeling approach, can adjust for reference tests’ imperfect accuracies
Externí odkaz:
https://doaj.org/article/475834a456ad4e0c8608f4e53dcdb5b4
Publikováno v:
Med. 3:162-166
Integrated testing for TB and COVID-19 may help find those TB patients who are not accessing care in the context of the COVID-19 pandemic. Some molecular platforms with assays for both diseases are already commercially available; however, integrated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43bd679ce3c1bb5194308945de4b734c
https://doi.org/10.1016/j.medj.2022.02.002
https://doi.org/10.1016/j.medj.2022.02.002
Autor:
Emily L. MacLean, Mikashmi Kohli, Lisa Köppel, Ian Schiller, Surendra K. Sharma, Madhukar Pai, Claudia M. Denkinger, Nandini Dendukuri
Publikováno v:
Diagnostic and prognostic research. 6(1)
Background Evaluating the accuracy of extrapulmonary tuberculosis (TB) tests is challenging due to lack of a gold standard. Latent class analysis (LCA), a statistical modeling approach, can adjust for reference tests’ imperfect accuracies to produc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a1d7631d126170ffdda8c8aee11f7d4
https://pubmed.ncbi.nlm.nih.gov/35706064
https://pubmed.ncbi.nlm.nih.gov/35706064