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A regularized Cox model for selecting interactions and time-varying covariate effects

Year: 2025

Type: conference-paper

Abstract: Introduction: The Cox proportional hazards model is a widely used method for analyzing clinical time-to-event data. The basic form of the model assumes the covariate effects on the hazard function to be constant over time. However, in many clinical settings, covariate effects may vary with time, and [for full text, please go to the a.m. URL]

Source: German Medical Science (German Research Foundation)

DOI: 10.3205/25gmds083

Authors: Schenk, Alina, Künster, Anna-Lena, Schmid, Matthias

Institutions: University Hospital Bonn, Institut für Medizinische Biometrie, Informatik und Epidemiologie, Koblenz University of Applied Sciences

Language: English

Topic: Statistical Methods and Inference

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W7103896836

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