1 code implementation • 21 Jun 2019 • Joseph Antonelli, Matthew Cefalu
This growth in interest has led to a number of potential estimators one could use in this setting.
Methodology
1 code implementation • 5 Mar 2019 • Ray Bai, Gemma E. Moran, Joseph Antonelli, Yong Chen, Mary R. Boland
We introduce the spike-and-slab group lasso (SSGL) for Bayesian estimation and variable selection in linear regression with grouped variables.
Methodology
1 code implementation • 30 Nov 2017 • Joseph Antonelli, Maitreyi Mazumdar, David Bellinger, David C. Christiani, Robert Wright, Brent A. Coull
To estimate the health effects of complex mixtures we propose a flexible Bayesian approach that allows exposures to interact with each other and have nonlinear relationships with the outcome.
Methodology
1 code implementation • 25 Apr 2017 • Joseph Antonelli, Giovanni Parmigiani, Francesca Dominici
In observational studies, estimation of a causal effect of a treatment on an outcome relies on proper adjustment for confounding.
Methodology
