z-logo
open-access-imgOpen Access
A Bayesian method for synthesizing multiple diagnostic outcomes of COVID-19 tests
Author(s) -
Lirong Cao,
Shi Zhao,
Qi Li,
Lowell Ling,
William Ka Kei Wu,
Lin Zhang,
Jingzhi Lou,
Ka Chun Chong,
Zigui Chen,
Eliza L.Y. Wong,
Benny Zee,
Matthew T.V. Chan,
Paul K.S. Chan,
Maggie Wang
Publication year - 2021
Publication title -
royal society open science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.84
H-Index - 51
ISSN - 2054-5703
DOI - 10.1098/rsos.201867
Subject(s) - covid-19 , bayesian probability , computer science , artificial intelligence , statistics , mathematics , biology , medicine , virology , disease , pathology , infectious disease (medical specialty) , outbreak

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here