16 citations · 21 across the 8 of their papers we have counts for
4 papers · 1 filter
Evaluating causal effects on time-to-event outcomes in an RCT in Oncology with treatment discontinuation
Veronica Ballerini, Björn Bornkamp, Alessandra Mattei +3
In clinical trials, patients may discontinue treatments prematurely, breaking the initial randomization and, thus, challenging inference. Stakeholders in drug development are gener…
Modelling Network Interference with Multi-valued Treatments: the Causal Effect of Immigration Policy on Crime Rates
C. Tortù, I. Crimaldi, F. Mealli +1
Policy evaluation studies, which intend to assess the effect of an intervention, face some statistical challenges: in real-world settings treatments are not randomly assigned and t…
Causal inference and machine learning approaches for evaluation of the health impacts of large-scale air quality regulations
Rachel C. Nethery, Fabrizia Mealli, Jason D. Sacks +1
We develop a causal inference approach to estimate the number of adverse health events prevented by large-scale air quality regulations via changes in exposure to multiple pollutan…
Evaluating the Causal Effect of University Grants on Student Dropout: Evidence from a Regression Discontinuity Design Using Principal Stratification
Fan Li, Alessandra Mattei, Fabrizia Mealli
Regression discontinuity (RD) designs are often interpreted as local randomized experiments: a RD design can be considered as a randomized experiment for units with a realized valu…