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Nina Deliu
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Artificial Intelligence-based Decision Support Systems for Precision and Digital Health
Informing Users about Data Imputation. Exploring the Design Space for Dealing With Non-Responses
Reinforcement Learning for Sequential Decision-Making in Population Research
SMART-EXAM: Incorporating participants’ welfare into sequential multiple assignment randomized trials
Enhancing patient outcomes and statistical efficiency in rare-disease phase-II trials. The StratosPHere 2 study (Invited Talk @ Italian Bayesian Day 2023)
Enhancing patient outcomes and statistical efficiency in rare-disease phase-II trials. The StratosPHere 2 study (Poster @ ISCB2023 - Joint conference with the IBS)
Efficient Inference Without Trading-off Regret in Bandits. An Allocation Probability Test for Thompson Sampling (Invited Talk @ JSM2023)
Probabilistic and Distance-based Approaches for Computing Highest-Density Regions (Talk @ EcoSta2023)
Computing Highest Density Regions with Copulae (Poster @ 13 GdR MEMOTEF)
Computing Highest Density Regions with Copulae (Talk @ SIS 2023)
Assessing the predictive accuracy of official-statistics registers. The Global Mean Squared Error measure (Invited Talk @ ITACOSM2023)
Multiculturality and Interculturality: Qualitative Analysis of the Perspective of Focus Group Participants
Development of a multivariate Bayesian methodological framework for doping detection using copulae (Talk @ University of Cambridge)
Microrandomized Trials: Developing Just-in-Time Adaptive Interventions for Better Public Health
Dynamic Treatment Regimes for Optimizing Healthcare
Multi-disciplinary fairness considerations in machine learning for clinical trials
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