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dsSurvival: Privacy preserving survival models for federated individual patient meta-analysis in DataSHIELD.

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Title: dsSurvival: Privacy preserving survival models for federated individual patient meta-analysis in DataSHIELD.
Authors: Banerjee, Soumya1 (AUTHOR) sb2333@cam.ac.uk, Sofack, Ghislain N.2,3 (AUTHOR), Papakonstantinou, Thodoris2,3 (AUTHOR), Avraam, Demetris4,5 (AUTHOR), Burton, Paul4 (AUTHOR), Zöller, Daniela2,3 (AUTHOR), Bishop, Tom R. P.1 (AUTHOR)
Source: BMC Research Notes. 6/3/2022, Vol. 15 Issue 1, p1-6. 6p.
Database: Academic Search Ultimate
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An: 157262073
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  Data: <searchLink fieldCode="JN" term="%22BMC+Research+Notes%22">BMC Research Notes</searchLink>. 6/3/2022, Vol. 15 Issue 1, p1-6. 6p.
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      – Type: doi
        Value: 10.1186/s13104-022-06085-1
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      – Code: eng
        Text: English
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      – TitleFull: dsSurvival: Privacy preserving survival models for federated individual patient meta-analysis in DataSHIELD.
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            NameFull: Sofack, Ghislain N.
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            NameFull: Papakonstantinou, Thodoris
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            NameFull: Burton, Paul
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              Text: 6/3/2022
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              Y: 2022
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