Lower Confidence Bound for Process-Yield Index Spkwith Autocorrelated Process Data

2015 ◽  
Vol 12 (2) ◽  
pp. 253-267 ◽  
Author(s):  
Fu-Kwun Wang ◽  
Yeneneh Tamirat
Keyword(s):  
Confidence Bound ◽  
Process Data ◽  
Process Yield ◽  
Autocorrelated Process ◽  
Lower Confidence ◽  
Lower Confidence Bound

scholarly journals Analysis of the specificity of the SD Biosensor Standard Q Ag-Test based on Slovak mass testing data

2020 ◽  
Author(s):  
Michal Hledík ◽  
Jitka Polechová ◽  
Mathias Beiglböck ◽  
Anna Nele Herdina ◽  
Robert Strassl ◽  
...  
Keyword(s):  
False Positives ◽  
Confidence Bound ◽  
Worst Case ◽  
Lower Confidence ◽  
Lower Confidence Bound ◽  
Testing Data ◽  
Worst Case Approach

AbstractFrom 31.10. - 1.11.2020 Slovakia has used the SD Biosensor Standard Q Ag-Test for nationwide tests for SARS-CoV-2, in which 3,625,332 persons from 79 counties were tested. Based on this data, we calculate that the specificity of the test is at least 99.6% (with a 97.5% one-sided lower confidence bound). Our analysis is based on a worst case approach in which all positives are assumed to be false positives. Therefore, the actual specificity is expected to exceed 99.6%.

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