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Clustering with missing and left‐censored data: A simulation study comparing multiple‐imputation‐based procedures.

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Title: Clustering with missing and left‐censored data: A simulation study comparing multiple‐imputation‐based procedures.
Authors: Faucheux, Lilith1,2 (AUTHOR) lilith.faucheux@inserm.fr, Resche‐Rigon, Matthieu1,3 (AUTHOR), Curis, Emmanuel3,4 (AUTHOR), Soumelis, Vassili2,5 (AUTHOR), Chevret, Sylvie1,3 (AUTHOR)
Source: Biometrical Journal. Feb2021, Vol. 63 Issue 2, p372-393. 22p.
Database: Mathematics Source
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  Data: Clustering with missing and left‐censored data: A simulation study comparing multiple‐imputation‐based procedures.
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  Data: <searchLink fieldCode="JN" term="%22Biometrical+Journal%22">Biometrical Journal</searchLink>. Feb2021, Vol. 63 Issue 2, p372-393. 22p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=msf&AN=148501190
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        Value: 10.1002/bimj.201900366
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        Text: English
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        PageCount: 22
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      – TitleFull: Clustering with missing and left‐censored data: A simulation study comparing multiple‐imputation‐based procedures.
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              Text: Feb2021
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              Y: 2021
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