Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Joseph Antonelli"'
Autor:
Mir Henglin, Brian L. Claggett, Joseph Antonelli, Mona Alotaibi, Gino Alberto Magalang, Jeramie D. Watrous, Kim A. Lagerborg, Gavin Ovsak, Gabriel Musso, Olga V. Demler, Ramachandran S. Vasan, Martin G. Larson, Mohit Jain, Susan Cheng
Publikováno v:
Metabolites, Vol 12, Iss 6, p 519 (2022)
Emerging technologies now allow for mass spectrometry-based profiling of thousands of small molecule metabolites (‘metabolomics’) in an increasing number of biosamples. While offering great promise for insight into the pathogenesis of human disea
Externí odkaz:
https://doaj.org/article/dfb1475dcbb94aa896318690f8f5114a
Autor:
Mir Henglin, Teemu Niiranen, Jeramie D. Watrous, Kim A. Lagerborg, Joseph Antonelli, Brian L. Claggett, Emmanuella J. Demosthenes, Beatrice von Jeinsen, Olga Demler, Ramachandran S. Vasan, Martin G. Larson, Mohit Jain, Susan Cheng
Publikováno v:
Metabolites, Vol 9, Iss 7, p 128 (2019)
To assist with management and interpretation of human metabolomics data, which are rapidly increasing in quantity and complexity, we need better visualization tools. Using a dataset of several hundred metabolite measures profiled in a cohort of ~1500
Externí odkaz:
https://doaj.org/article/29c822ef07064a87860cbc3d268505e1
Autor:
Joseph Antonelli, Brian L. Claggett, Mir Henglin, Andy Kim, Gavin Ovsak, Nicole Kim, Katherine Deng, Kevin Rao, Octavia Tyagi, Jeramie D. Watrous, Kim A. Lagerborg, Pavel V. Hushcha, Olga V. Demler, Samia Mora, Teemu J. Niiranen, Alexandre C. Pereira, Mohit Jain, Susan Cheng
Publikováno v:
Metabolites, Vol 9, Iss 7, p 143 (2019)
High-throughput metabolomics investigations, when conducted in large human cohorts, represent a potentially powerful tool for elucidating the biochemical diversity underlying human health and disease. Large-scale metabolomics data sources, generated
Externí odkaz:
https://doaj.org/article/81da88040d454ee49c2abefc439e5f6c
Publikováno v:
Journal of Experimental Psychology: General. 151:3045-3059
Human language is unique among animal communication systems, in part because of its dual patterning in which meaningless phonological units combine to form meaningful words (phonological structure) and words combine to form sentences (lexicosyntactic
Autor:
Joseph Antonelli
Publikováno v:
Handbook of Matching and Weighting Adjustments for Causal Inference ISBN: 9781003102670
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b231cc660fcd9650aec678901b57ca80
https://doi.org/10.1201/9781003102670-23
https://doi.org/10.1201/9781003102670-23
Publikováno v:
J Speech Lang Hear Res
Purpose Parental language input (PLI) has reliably been found to influence child language development for children at risk of language delay, but previous work has generally restricted observations to the preschool years. The current study examined w
Autor:
Joseph Antonelli, Francesca Dominici
Publikováno v:
Handbook of Bayesian Variable Selection ISBN: 9781003089018
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea4db28b8f6929c29354d1484da7d654
https://doi.org/10.1201/9781003089018-9
https://doi.org/10.1201/9781003089018-9
Autor:
Heejun Shin, Joseph Antonelli
We propose a doubly robust approach to characterizing treatment effect heterogeneity in observational studies. We develop a frequentist inferential procedure that utilizes posterior distributions for both the propensity score and outcome regression m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80fe49af685f90a70173cda29caa3118
http://arxiv.org/abs/2111.03594
http://arxiv.org/abs/2111.03594
Publikováno v:
ISEE Conference Abstracts. 2021
BACKGROUND AND AIM: Distributed lag models are useful in environmental epidemiology as they allow us to investigate the time periods at which exposure to a pollutant adversely affects health outcom...
Publikováno v:
Biostatistics (Oxford, England).
Summary Distributed lag models are useful in environmental epidemiology as they allow the user to investigate critical windows of exposure, defined as the time periods during which exposure to a pollutant adversely affects health outcomes. Recent stu