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Sparse Variable Selection in Competing Risks Additive Hazards Regression: An application for identifying biomarkers related to prognosis of Bladder Cancer

Introduction: Variable selection has become an increasingly important topic in biomedical research, as evidenced by its modern applications in high-throughput genomic data analysis. Specifically, interest in analyzing high-throughput data to link gene expression profiles to the timing of an event s...

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Principais autores: Leili Tapak, Michael R. Kosorok, Omid Hamidi, Mahya Arayeshgari
Formato: Artigo
Idioma:Inglês
Publicado: Tehran University of Medical Sciences 2025-03-01
Series:Journal of Biostatistics and Epidemiology
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Acceso en liña:https://jbe.tums.ac.ir/index.php/jbe/article/view/1470
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