2 papers
stat.CO2026
mmid: Multi-Modal Integration and Downstream analyses for healthcare analytics in Python
Andrea Mario Vergani, Valeria Iapaolo, Emanuele Di Angelantonio +2
mmid (Multi-Modal Integration and Downstream analyses for healthcare analytics) is a Python package that offers multi-modal fusion and imputation, classification, time-to-event pre…
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…