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Partial identification of principal causal effects under violations of principal ignorability
Minxuan Wu, Joseph Antonelli
Principal stratification is a general framework for studying causal mechanisms involving post-treatment variables. When estimating principal causal effects, the principal ignorabil…
Borrowing Strength Across Exposures and Outcomes via Index Models for Multi-pollutant Mixtures
Glen McGee, Joseph Antonelli
An important goal of environmental health research is to assess the health risks posed by mixtures of multiple environmental exposures. In these mixtures analyses, flexible models…
Autoregressive models for panel data causal inference with application to state-level opioid policies
Joseph Antonelli, Max Rubinstein, Denis Agniel +8
Motivated by the study of state opioid policies, we propose a novel approach that uses autoregressive models for causal effect estimation in settings with panel data and staggered…
Envelope-based partial least squares in functional regression
Minxuan Wu, Joseph Antonelli, Zhihua Su
In this article, we extend predictor envelope models to settings with multivariate outcomes and multiple, functional predictors. We propose a two-step estimation strategy, which fi…