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

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Showing stat.APShow all

7 papers · 1 filter

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.AP2021★ 1 cited

Assessing the causal effects of a stochastic intervention in time series data: Are heat alerts effective in preventing deaths and hospitalizations?

Xiao Wu, Kate R. Weinberger, Gregory A. Wellenius +2

The methodological development of this paper is motivated by the need to address the following scientific question: does the issuance of heat alerts prevent adverse health effects?…

stat.AP2019★ 1 cited

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.AP2018★ 3 cited

Discovering Effect Modification and Randomization Inference in Air Pollution Studies

Kwonsang Lee, Dylan S. Small, Francesca Dominici

Studies have shown that exposure to air pollution, even at low levels, significantly increases mortality. As regulatory actions are becoming prohibitively expensive, robust evidenc…

stat.AP2015★ 40 cited

Hierarchical models for semi-competing risks data with application to quality of end-of-life care for pancreatic cancer

Kyu Ha Lee, Francesca Dominici, Deborah Schrag +1

Readmission following discharge from an initial hospitalization is a key marker of quality of health care in the United States. For the most part, readmission has been used to stud…

stat.AP2010★ 17 cited

A smoothing approach for masking spatial data

Yijie Zhou, Francesca Dominici, Thomas A. Louis

Individual-level health data are often not publicly available due to confidentiality; masked data are released instead. Therefore, it is important to evaluate the utility of using…

stat.AP2008★ 42 cited

Gamma shape mixtures for heavy-tailed distributions

Sergio Venturini, Francesca Dominici, Giovanni Parmigiani

An important question in health services research is the estimation of the proportion of medical expenditures that exceed a given threshold. Typically, medical expenditures present…