Publications

Submitted
Joseph Antonelli and Francesca Dominici. Submitted. “A Bayesian semiparametric framework for causal inference in high-dimensional data”. arxivdr-bnp.pdf
Joseph Antonelli, Maitreyi Mazumdar, David Bellinger, David Christiani, Robert Wright, and Brent Coull. Submitted. “Bayesian variable selection for multi-dimensional semiparametric regression models”. ibpdraft1.pdf
Brian Claggett, Joseph Antonelli, Mir Henglin, Jeramie Watrous, Kim Lehmann, Gabriel Musso, Andrew Correia, Sivani Jonnalagadda, Olga Demler, Vasan Ramachandran, Martin Larson, Mohit Jain, and Susan Cheng. Submitted. “Quantitative Comparison of Statistical Methods for Human Disease Trait Association with Mass Spectrometry-based Metabolomics Data”.
Mir Henglin, Teemu Niiranen, Jeramie Watrous, Kim Lehmann, Joseph Antonelli, Brian Claggett, Emmanuella Demosthenes, Beatrice von Jeinsen, Vasan Ramachandran, Martin Larson, Mohit Jain, and Susan Cheng. Submitted. “A Single Visualization Technique for Displaying Multiple Metabolite-Phenotype Associations”.
Joseph Antonelli, Brian Claggett, Mir Henglin, Jeramie Watrous, Pavel Hushcha, Olga Demler, Samia Mora, Alexandre Pereira, Mohit Jain, and Susan Cheng. Submitted. “Statistical Methods and Workflow for Analyses of High- Throughput Metabolomics Data”.
Joseph Antonelli, Giovanni Parmigiani, and Francesca Dominici. Submitted. “High-dimensional confounding adjustment using continuous spike and slab priors”. Arxiv
Forthcoming
Joseph Antonelli, Matthew Cefalu, Nathan Palmer, and Denis Agniel. Forthcoming. “Double robust matching estimators for high dimensional confounding adjustment.” Biometrics. Arxiv
2017
Maggie Makar, Joseph Antonelli, Qian Di, David Cutler, Joel Schwartz, and Francesca Dominici. 2017. “Estimating the Causal Effect of Low Levels of Fine Particulate Matter on Hospitalization.” Epidemiology. Publisher's Version makar-et-al2017.pdf
Joseph Antonelli, Corwin Zigler, and Francesca Dominici. 2017. “Guided Bayesian imputation to adjust for confounding when combining heterogeneous data sources in comparative effectiveness research.” Biostatistics. Publisher's Version 2017-biostat-gbac.pdf
Joseph Antonelli, Joel Schwartz, Itai Kloog, and Brent Coull. 2017. “Spatial Multiresolution Analysis of Irregularly Spaced Grids with Application to the Effect of PM2.5 on Birth Weights.” The Annals of Applied Statistics. aoas1018.pdf
Joseph Antonelli, Matthew Cefalu, and Bing Han. 2017. “A synthetic estimator for the efficacy of clinical trials with all-or-nothing compliance.” Statistics in Medicine. Publisher's Version antonelli_et_al-2017-statistics_in_medicine.pdf
2016
Joseph Antonelli, Lorenzo Trippa, and Sebastien Haneuse. 2016. “Mitigating bias in generalized linear mixed models: The case for Bayesian nonparametrics.” Statistical Science, 31, 1, Pp. 80-95. Publisher's Version 2016-statsci.pdf
Joseph Antonelli, Matthew Cefalu, and Luke Bornn. 2016. “The positive effects of preferential sampling in environmental epidemiology.” Biostatistics. Publisher's Version 2016-biostat_pref_sampling.pdf