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

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

BackgroundPatient 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 institution...

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Bibliographic Details
Main Authors: von Maltitz, Marcel, Ballhausen, Hendrik, Kaul, David, Fleischmann, Daniel F, Niyazi, Maximilian, Belka, Claus, Carle, Georg
Format: Article
Language:English
Published: JMIR Publications 2021-01-01
Series:JMIR Medical Informatics
Online Access:http://medinform.jmir.org/2021/1/e22158/

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http://medinform.jmir.org/2021/1/e22158/

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