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10.1038/s41598-021-84173-1 http://scihub22266oqcxt.onion/10.1038/s41598-021-84173-1 33750810!7943825!33750810     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sci+Rep 2021 ; 11 (1): 5491 Nephropedia Template TP {{tp|p=33750810|t=2021. Predictive values, uncertainty, and interpretation of serology tests for the novel coronavirus |pdf=|usr=}}{{33750810}} gab.com Text Predictive values, uncertainty, and interpretation of serology tests for the novel coronavirus JO: Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=33750810 #FOAvip Antibodies testing in the coronavirus era is frequently promoted, but the underlying statistics behind their validation has come under more scrutiny in recent weeks. We provide calculations, interpretations, and plots of positive and negative predictive values under a variety of scenarios. Prevalence, sensitivity, and specificity are estimated within ranges of values from researchers and antibodies manufacturers. Illustrative examples are highlighted, and interactive plots are provided in the Supplementary Information. Implications are discussed for society overall and across diverse locations with different levels of disease burden. Specifically, the proportion of positive serology tests that are false can differ drastically from up to 3%-88% for people from different places with different proportions of infected people in the populations while the false negative rate is typically under 10%. Twit Text FOAVip Predictive values, uncertainty, and interpretation of serology tests for the novel coronavirus ????Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=33750810 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33750810 #FOAvip English Wikipedia <ref>{{Cite pmid|33750810}}</ref> Predictive values, uncertainty, and interpretation of serology tests for the novel coronavirus #MMPMID33750810 Brownstein NC; Chen YA Sci Rep 2021[Mar]; 11 (1): 5491 PMID33750810show ga Antibodies testing in the coronavirus era is frequently promoted, but the underlying statistics behind their validation has come under more scrutiny in recent weeks. We provide calculations, interpretations, and plots of positive and negative predictive values under a variety of scenarios. Prevalence, sensitivity, and specificity are estimated within ranges of values from researchers and antibodies manufacturers. Illustrative examples are highlighted, and interactive plots are provided in the Supplementary Information. Implications are discussed for society overall and across diverse locations with different levels of disease burden. Specifically, the proportion of positive serology tests that are false can differ drastically from up to 3%-88% for people from different places with different proportions of infected people in the populations while the false negative rate is typically under 10%. |Antibodies, Viral/blood[MESH] |COVID-19/diagnosis/virology[MESH] |Coronavirus Infections/*diagnosis/virology[MESH] |Humans[MESH] |Predictive Value of Tests[MESH] |Reagent Kits, Diagnostic[MESH] |SARS-CoV-2/isolation & purification[MESH] |Serologic Tests/*methods[MESH]Predictive values, uncertainty, and interpretation of serology tests f(epmc).pdf DeepDyve Pubget Overpricing