activity
20152021
most citedSurvivor average causal effects for continuous time: a principal stratification approach to causal inference with semicompeting risks

16 citations · 21 across the 4 of their papers we have counts for

collaborators

11 papers

q-fin.ST2021

Causal effect of regulated Bitcoin futures on volatility and volume

Fiammetta Menchetti, Fabrizio Cipollini, Fabrizia Mealli

In December 2017, two leading derivative exchanges, CBOE and CME, introduced the first regulated Bitcoin futures. Our aim is estimating their causal impact on Bitcoin volatility an…

stat.ME2021

Causal Effects with Hidden Treatment Diffusion on Observed or Partially Observed Networks

Costanza Tortú, Irene Crimaldi, Fabrizia Mealli +1

In randomized experiments, interactions between units might generate a treatment diffusion process. This is common when the treatment of interest is an actual object or product tha…

econ.EM2021

Estimating the causal effect of an intervention in a time series setting: the C-ARIMA approach

Fiammetta Menchetti, Fabrizio Cipollini, Fabrizia Mealli

The Rubin Causal Model (RCM) is a framework that allows to define the causal effect of an intervention as a contrast of potential outcomes. In recent years, several methods have be…

stat.AP2020

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…

stat.AP2019

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…

stat.ME201916 cited

Survivor average causal effects for continuous time: a principal stratification approach to causal inference with semicompeting risks

Leah Comment, Fabrizia Mealli, Sebastien Haneuse +1

In semicompeting risks problems, nonterminal time-to-event outcomes such as time to hospital readmission are subject to truncation by death. These settings are often modeled with i…