Generating high-fidelity synthetic time-to-event datasets to improve data transparency and accessibility
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1471-2288
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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Generating high-fidelity synthetic time-to-event datasets to improve data transparency and accessibility ; volume:22 ; number:1 ; day:23 ; month:6 ; year:2022 ; pages:1-15 ; date:12.2022
BMC medical research methodology ; 22, Heft 1 (23.6.2022), 1-15, 12.2022
- Creator
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Smith, Aiden
Lambert, Paul C.
Rutherford, Mark J.
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s12874-022-01654-1
- URN
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urn:nbn:de:101:1-2022081600070062519853
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:30 AM CEST
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Smith, Aiden
- Lambert, Paul C.
- Rutherford, Mark J.
- SpringerLink (Online service)
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