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20172026
most citedScaling Survival Analysis in Healthcare with Federated Survival Forests: A Comparative Study on Heart Failure and Breast Cancer Genomics

16 citations · 21 across the 25 of their papers we have counts for

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11 papers · 1 filter

stat.AP2026

Enhancing comorbidity network inference with risk-enriched health trajectories embedding

Nicole Fontana, Alessia Mapelli, Emanuele Di Angelantonio +1

Multimorbidity poses a growing challenge for individual health, reducing quality of life and increasing treatment burden, resulting in a multiplicative impact on healthcare system…

stat.AP2026

Prior-informed conditional Gaussian graphical models: an application to protein interaction network reconstruction

Alessia Mapelli, Michela Carlotta Massi, Gianmauro Cuccuru +2

Protein-protein interaction (PPI) networks, estimated from high-throughput omics data, foster biomarker discovery and precision medicine. Gaussian graphical models (GGMs) offer a p…

stat.AP2026

Hidden multistate models to study multimorbidity trajectories

Valentina Manzoni, Francesca Ieva, Amaia Calderón-Larrañaga +2

Multimorbidity in older adults is common, heterogeneous, and highly dynamic, and it is strongly associated with disability and increased healthcare utilization. However, existing a…

stat.AP2025

Multi-state Modeling of Delay Evolution in Suburban Rail Transports

Stefania Colombo, Alfredo Gimenez Zapiola, Francesca Ieva +1

Train delays are a persistent issue in railway systems, particularly in suburban networks where operational complexity is heightened by frequent services and high passenger volumes…

stat.AP2025

Unraveling time-varying causal effects of multiple exposures: integrating Functional Data Analysis with Multivariable Mendelian Randomization

Nicole Fontana, Francesca Ieva, Luisa Zuccolo +2

Mendelian Randomization is a widely used instrumental variable method for assessing causal effects of lifelong exposures on health outcomes. Many exposures, however, have causal ef…

stat.AP20251 cited

Three Distributional Approaches for PM10 Assessment in Northern Italy

Marco F. De Sanctis, Andrea Gilardi, Giacomo Milan +3

We propose three spatial methods for estimating the full probability distribution of PM10 concentrations, with the ultimate goal of assessing air quality in Northern Italy. Moving…