Status: Bibliographieeintrag
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| Verfasst von: | Erdmann, Stella [VerfasserIn]  |
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| | Betensky, Rebecca [VerfasserIn] |
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| Titel: | KMstability |
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| Titelzusatz: | R tools to report the stability and precision of Kaplan-Meier estimates as well as measures of follow-up in time-to-event studies |
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| Verf.angabe: | Stella Erdmann, Rebecca Betensky |
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| E-Jahr: | 2024 |
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| Jahr: | May 2024 |
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| Umfang: | 6 S. |
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| Illustrationen: | Illustrationen |
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| Fussnoten: | Online verfügbar: 13. Februar 2024 ; Gesehen am 14.08.2024 |
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| Titel Quelle: | Enthalten in: SoftwareX |
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| Ort Quelle: | Amsterdam [u.a.] : Elsevier, 2015 |
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| Jahr Quelle: | 2024 |
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| Band/Heft Quelle: | 26(2024), Artikel-ID 101650, Seite 1-6 |
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| ISSN Quelle: | 2352-7110 |
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| Abstract: | In order to appropriately report time-to-event analyses by means of Kaplan-Meier estimates, its precision and stability should be described. The precision is often reported by confidence intervals. For reporting the stability, various measures of the follow-up time distribution are used. However, these do not provide the intended insight. Recently, a new stability measure was presented. We have developed the software KMstability for calculation and display of this stability measure, including a user-friendly R shiny application and an open-source R package. The software enables informative reporting of time-to-event analysis. This is essential for reporting time-to-event analyses at interim-analyses of clinical trials and for observational (real-world-data) studies. |
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| DOI: | doi:10.1016/j.softx.2024.101650 |
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| URL: | Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.
kostenfrei: Volltext: https://doi.org/10.1016/j.softx.2024.101650 |
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| | kostenfrei: Volltext: https://www.sciencedirect.com/science/article/pii/S2352711024000219 |
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| | DOI: https://doi.org/10.1016/j.softx.2024.101650 |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| Sach-SW: | Kaplan Meier estimator |
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| | Observation time |
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| | Observation time for those who are event-free |
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| | Product limit estimator |
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| | Statistical software |
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| | Time to censoring |
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| K10plus-PPN: | 1898647771 |
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| Verknüpfungen: | → Zeitschrift |
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KMstability / Erdmann, Stella [VerfasserIn]; May 2024 (Online-Ressource)
69243154
