2 code implementations • 28 Sep 2021 • Daniel Mork, Marianthi-Anna Kioumourtzoglou, Marc Weisskopf, Brent A Coull, Ander Wilson
A common goal is to identify critical windows of susceptibility--periods during gestation with increased association between maternal exposures and a future outcome.
1 code implementation • 12 Jun 2020 • Yanelli Nunez, Elizabeth A. Gibson, Eva M. Tanner, Chris Gennings, Brent A. Coull, Jeff A. Goldsmith, Marianthi-Anna Kioumourtzoglou
Statistical learning (SL) includes methods that extract knowledge from complex data.
Applications
no code implementations • NeurIPS 2019 • Jeremiah Zhe Liu, John Paisley, Marianthi-Anna Kioumourtzoglou, Brent Coull
We introduce a Bayesian nonparametric ensemble (BNE) approach that augments an existing ensemble model to account for different sources of model uncertainty.
1 code implementation • 17 Dec 2018 • Xiao Wu, Fabrizia Mealli, Marianthi-Anna Kioumourtzoglou, Francesca Dominici, Danielle Braun
We apply our proposed method to estimate the average causal exposure-response function between long-term PM$_{2. 5}$ exposure and all-cause mortality among 68. 5 million Medicare enrollees, 2000-2016.
Methodology Applications
no code implementations • 8 Dec 2018 • Jeremiah Zhe Liu, John Paisley, Marianthi-Anna Kioumourtzoglou, Brent A. Coull
Ensemble learning is a mainstay in modern data science practice.
1 code implementation • 2 Dec 2017 • Xiao Wu, Danielle Braun, Marianthi-Anna Kioumourtzoglou, Christine Choirat, Qian Di, Francesca Dominici
We propose a new approach for estimating causal effects when the exposure is measured with error and confounding adjustment is performed via a generalized propensity score (GPS).
Methodology Applications