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Towards reduction in bias in epidemic curves due to outcome misclassification through Bayesian analysis of time-series of laboratory test results: case study of COVID-19 in Alberta, Canada and Philadelphia, USA.

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Title: Towards reduction in bias in epidemic curves due to outcome misclassification through Bayesian analysis of time-series of laboratory test results: case study of COVID-19 in Alberta, Canada and Philadelphia, USA.
Authors: Burstyn, Igor1,2 (AUTHOR) ib68@drexel.edu, Goldstein, Neal D.2 (AUTHOR), Gustafson, Paul3 (AUTHOR)
Source: BMC Medical Research Methodology. 6/6/2020, Vol. 20 Issue 1, p1-10. 10p. 8 Graphs.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22BMC+Medical+Research+Methodology%22">BMC Medical Research Methodology</searchLink>. 6/6/2020, Vol. 20 Issue 1, p1-10. 10p. 8 Graphs.
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        Value: 10.1186/s12874-020-01037-4
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      – Code: eng
        Text: English
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      – TitleFull: Towards reduction in bias in epidemic curves due to outcome misclassification through Bayesian analysis of time-series of laboratory test results: case study of COVID-19 in Alberta, Canada and Philadelphia, USA.
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            NameFull: Burstyn, Igor
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            NameFull: Goldstein, Neal D.
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              Text: 6/6/2020
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