2 citations · 2 across the 4 of their papers we have counts for
4 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…
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…
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…