5 citations · 11 across the 3 of their papers we have counts for
6 papers · 1 filter
Estimating effects within nonlinear autoregressive models: a case study on the impact of child access prevention laws on firearm mortality
Matthew Cefalu, Terry Schell, Beth Ann Griffin +2
Autoregressive models are widely used for the analysis of time-series data, but they remain underutilized when estimating effects of interventions. This is in part due to endogenei…
Reducing bias in difference-in-differences models using entropy balancing
Matthew Cefalu, Brian G. Vegetabile, Michael Dworsky +2
This paper illustrates the use of entropy balancing in difference-in-differences analyses when pre-intervention outcome trends suggest a possible violation of the parallel trends a…
Nonparametric Estimation of Population Average Dose-Response Curves using Entropy Balancing Weights for Continuous Exposures
Brian G. Vegetabile, Beth Ann Griffin, Donna L. Coffman +2
Weighted estimators are commonly used for estimating exposure effects in observational settings to establish causal relations. These estimators have a long history of development w…
Synthetic estimation for the complier average causal effect
Denis Agniel, Bing Han, Matthew Cefalu
We propose an improved estimator of the complier average causal effect (CACE). Researchers typically choose a presumably-unbiased estimator for the CACE in studies with noncomplian…
Averaging causal estimators in high dimensions
Joseph Antonelli, Matthew Cefalu
There has been increasing interest in recent years in the development of approaches to estimate causal effects when the number of potential confounders is prohibitively large. This…
Posterior Predictive Treatment Assignment for Estimating Causal Effects with Limited Overlap
Corwin M Zigler, Matthew Cefalu
Estimating causal effects with propensity scores relies upon the availability of treated and untreated units observed at each value of the estimated propensity score. In settings w…