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Comparative study of Bayesian and frequentist methods for epidemic forecasting: Insights from simulated and historical data.

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Title: Comparative study of Bayesian and frequentist methods for epidemic forecasting: Insights from simulated and historical data.
Authors: Karami, Hamed1 (AUTHOR), Luo, Ruiyan2 (AUTHOR), Sanaei, Pejman1 (AUTHOR), Chowell, Gerardo2,3 (AUTHOR) gchowell@gsu.edu
Source: Statistical Methods in Medical Research. Jan2026, Vol. 35 Issue 1, p21-39. 19p.
Database: Mathematics Source
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  Data: <searchLink fieldCode="JN" term="%22Statistical+Methods+in+Medical+Research%22">Statistical Methods in Medical Research</searchLink>. Jan2026, Vol. 35 Issue 1, p21-39. 19p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=msf&AN=190751768
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      – Type: doi
        Value: 10.1177/09622802251387451
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      – Code: eng
        Text: English
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        PageCount: 19
        StartPage: 21
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      – TitleFull: Comparative study of Bayesian and frequentist methods for epidemic forecasting: Insights from simulated and historical data.
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            NameFull: Karami, Hamed
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            NameFull: Luo, Ruiyan
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            NameFull: Sanaei, Pejman
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            – D: 01
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              Text: Jan2026
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              Y: 2026
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              Value: 35
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