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Natalia L. Oliveira
Researcher at Carnegie Mellon University
Publications - 13
Citations - 70
Natalia L. Oliveira is an academic researcher from Carnegie Mellon University. The author has contributed to research in topics: Contingency table & Likelihood-ratio test. The author has an hindex of 3, co-authored 12 publications receiving 32 citations. Previous affiliations of Natalia L. Oliveira include Johns Hopkins University School of Medicine & Federal University of São Carlos.
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Can Auxiliary Indicators Improve COVID-19 Forecasting and Hotspot Prediction?
Daniel J. McDonald,Jacob Bien,Alden Green,Addison J Hu,Nat DeFries,Sangwon Hyun,Natalia L. Oliveira,James Sharpnack,Jingjing Tang,Robert Tibshirani,Valérie Ventura,Larry Wasserman,Ryan J. Tibshirani +12 more
TL;DR: In this paper, the utility of these indicators from a forecasting perspective is studied. But the authors focus on five indicators, derived from medical insurance claims data, web search queries, and online survey responses, and ask whether their inclusion in a simple model leads to improved predictive accuracy relative to a similar model excluding it.
Journal ArticleDOI
An investigation onto Cd toxicity to freshwater microalga Chlorella sorokiniana in mixotrophy and photoautotrophy: A Bayesian approach.
TL;DR: It is shown that the reduced photosynthetic capacity under mixotrophy can end up reducing the release of oxygen gas, which can compromise the entire aquatic ecosystem.
Journal ArticleDOI
A discussion on significance indices for contingency tables under small sample sizes
TL;DR: In this paper, the authors define an accurate index for the celebrated hypotheses of homogeneity, independence, and Hardy-Weinberg equilibrium in contingency tables and define an exact LRT p-value as a benchmark to understand other indices.
Journal ArticleDOI
Copper and cadmium complexation by Cylindrospermopsis raciborskii exudates.
TL;DR: The present findings have important ecological implications, since the metal-ligand association is dynamic, and together with a diversity of ligands it can act as an environmental metal buffer, as a result, higher metal loads may be necessary for the detection of toxicity.
Posted ContentDOI
An Open Repository of Real-Time COVID-19 Indicators
Alex Reinhart,Logan C. Brooks,Maria Jahja,Aaron Rumack,Jingjing Tang,Wael Al Saeed,Taylor Arnold,Amartya Basu,Jacob Bien,Ángel Alexander Cabrera,Andrew Chin,Eu Jing Chua,Brian Clark,Nat DeFries,Jodi Forlizzi,Samuel Gratzl,Alden Green,George Haff,Robin Han,Addison J Hu,Sangwon Hyun,Ananya Joshi,Jimi Kim,Andrew Kuznetsov,Wichada La Motte-Kerr,Yeon Jin Lee,Kenneth K. Lee,Zachary C. Lipton,Michael Xieyang Liu,Lester Mackey,Kathryn Mazaitis,Daniel J. McDonald,Balasubramanian Narasimhan,Natalia L. Oliveira,Pratik Patil,Adam Perer,Collin A Politsch,Samyak Rajanala,Dawn Rucker,Nigam H. Shah,Vishnu Shankar,James Sharpnack,Dmitry Shemetov,Noah Simon,Vishakha Srivastava,Shuyi Tan,Robert Tibshirani,Elena Tuzhilina,Ana Karina Van Nortwick,Valérie Ventura,Larry Wasserman,Jeremy C. Weiss,Kristin Williams,Roni Rosenfeld,Ryan J. Tibshirani +54 more
TL;DR: The COVIDcast API as mentioned in this paper provides open access to both traditional public health surveillance signals (cases, deaths, and hospitalizations) and many auxiliary indicators of COVID-19 activity, such as signals extracted from de-identified medical claims data, massive online surveys, cell phone mobility data, and internet search trends.