Article

Revisiting VERTIGO and VERTIGO-CI: Identifying confidentiality breaches and introducing a statistically sound, efficient alternative

2025-05-31

Abstract excerpt

<h4>Background</h4> Health Data Research Network Canada is tasked with facilitating large-scale health data research, such as statistical analyses that integrate, within a single model, data collected by different organizations, each holding distinct subsets of features corresponding to the same individuals, thereby forming a vertical data partition. To support logistic regression analyses in this setting, we ass...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 16a99e02-a2d2-5d3e-b2e2-fe27236b6174
DOI: 10.1101/2025.05.30.25328653

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Revisiting VERTIGO and VERTIGO-CI: Identifying confidentiality breaches and introducing a statistically sound, efficient alternativeDOI 10.1101/2025.05.30.25328653Read

Revisiting VERTIGO and VERTIGO-CI: Identifying confidentiality breaches and introducing a statistically sound, efficient alternativeSemantic proximity Read

VALORIS: One-shot and lossless vertical logistic regression for privacy-protecting multi-site health analyticsSemantic proximity Read

VALORIS: A privacy-aware logistic regression method for vertically partitioned data within a novel privacy risk assessment frameworkSemantic proximity Read

A proposed de-identification framework for a cohort of children presenting at a health facility in UgandaSemantic proximity Read

FAMES: Federated additive model using piecewise exponential survival dataSemantic proximity Read

Privacy-Preserving Multivariate Bayesian Regression Models for Overcoming Data Sharing Barriers in Health and GenomicsSemantic proximity Read

Exploring the tradeoff between data privacy and utility with a clinical data analysis use case: a case reportSemantic proximity Read

Technical and policy approaches to balancing patient privacy and data sharing in clinical and translational research.Semantic proximity Read

Patient-centric synthetic data generation, no reason to risk re-identification in the analysis of biomedical pseudonymised dataSemantic proximity Read

FAIR and Square: Privacy Compliance Framework for Healthcare DatabasesSemantic proximity Read

On the Fidelity versus Privacy and Utility Trade-Off of Synthetic Patient DataSemantic proximity Read