A Privacy-Preserving Log-Rank Test for the Kaplan-Meier Estimator With Secure Multiparty Computation: Algorithm Development and Validation

BACKGROUND: Patient data is considered particularly sensitive personal data. Privacy regulations strictly govern the use of patient data and restrict their exchange. However, medical research can benefit from multicentric studies in which patient data from different institutions are pooled and evalu...

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Detalles Bibliográficos
Autores principales: von Maltitz, Marcel, Ballhausen, Hendrik, Kaul, David, Fleischmann, Daniel F, Niyazi, Maximilian, Belka, Claus, Carle, Georg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7850908/
https://www.ncbi.nlm.nih.gov/pubmed/33459602
http://dx.doi.org/10.2196/22158

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7850908/
https://www.ncbi.nlm.nih.gov/pubmed/33459602
http://dx.doi.org/10.2196/22158

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