activity
20082023
most citedAll Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously

1.2k citations · 1.3k across the 28 of their papers we have counts for

collaborators

29 papers

stat.ME2023

A Bayesian Nonparametric Method to Adjust for Unmeasured Confounding with Negative Controls

Jie Kate Hu, Dafne Zorzetto, Francesca Dominici

Unmeasured confounding bias threatens the validity of observational studies. While sensitivity analyses and study designs have been proposed to address this issue, they often overl…

stat.ME2023

Estimating causal quantile exposure response functions via matching

Luca Merlo, Francesca Dominici, Lea Petrella +2

We develop new matching estimators for estimating causal quantile exposure-response functions and quantile exposure effects with continuous treatments. We provide identification re…

stat.ME2023

Causal exposure-response curve estimation with surrogate confounders: a study of air pollution and children's health in Medicaid claims data

Jenny J. Lee, Xiao Wu, Francesca Dominici +1

In this paper, we undertake a case study to estimate a causal exposure-response function (ERF) for long-term exposure to fine particulate matter (PM) and respiratory hospit…

stat.ME2023★ 17 cited

Differential recall bias in estimating treatment effects in observational studies

Suhwan Bong, Kwonsang Lee, Francesca Dominici

Observational studies are frequently used to estimate the effect of an exposure or treatment on an outcome. To obtain an unbiased estimate of the treatment effect, it is crucial to…

stat.AP2023

Methods for Estimating the Exposure-Response Curve to Inform the New Safety Standards for Fine Particulate Matter

Michael Cork, Daniel Mork, Francesca Dominici

Exposure to fine particulate matter () poses significant health risks and accurately determining the shape of the relationship between and health outcomes has…

stat.ME2023★ 1 cited

Confounder-Dependent Bayesian Mixture Model: Characterizing Heterogeneity of Causal Effects in Air Pollution Epidemiology

Dafne Zorzetto, Falco J. Bargagli-Stoffi, Antonio Canale +1

Several epidemiological studies have provided evidence that long-term exposure to fine particulate matter (PM2.5) increases mortality risk. Furthermore, some population characteris…