2 citations · 2 across the 5 of their papers we have counts for
5 papers
Generalized propensity score weighting for functional causal inference framework
Simone Ciardulli, Nicole Fontana, Simone Vantini +1
Estimating causal effects in observational studies requires adjustment for confounding, a task that becomes challenging when the exposure is a function observed over a continuous d…
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…
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…
Integrating state-sequence analysis to uncover dynamic drug-utilization patterns to profile heart failure patients
Nicole Fontana, Laura Savaré, Francesca Ieva
Globally, the incidence of heart failure is increasing, and its principal treatment involves drug therapy. However, widespread non-adherence to therapies is prevalent among heart f…
A latent class approach to assess the effects of dynamic adherence to polytherapy in heart failure patients
Nicole Fontana, Laura Savaré, Emanuele Di Angelantonio +1
Heart failure (HF) treatment relies heavily on pharmacotherapy, particularly combining multiple therapies as recommended by clinical guidelines. However, non-adherence to prescribe…