Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Kristen Margevicius"'
Publikováno v:
Quality Engineering. 29:547-550
This article illustrates how to combine engineering and statistical models and propagate the distributions of model inputs to estimate the probability of an event with uncertainty.
Autor:
Michael S. Hamada, Kristen Margevicius
Publikováno v:
Quality and Reliability Engineering International. 32:2883-2887
We analyze data sampled from a population of parts in which an associated anomaly can occur at assembly or after assembly. Using a zero-inflated lifetime distribution to fit left-censored and right-censored data as well data from a supplementary samp
Autor:
Ben Althouse, Ashlynn R. Daughton, Alessandro Vespignani, Esteban Abeyta, Lauren Castro, Kirsten J. Taylor-McCabe, Nicholas Generous, Sara Y. Del Valle, Carmen M. Pancerella, Laura L. Pullum, Kristen Margevicius, Alina Deshpande, Andrew P. Morse, Aaron E. Scott, Arvind Ramanathan, Richard K. Kiang, Geoffrey Fairchild, Howard Burkom, James M. Hyman, Jeffrey Schlegelmilch
Publikováno v:
PLOS ONE
PLoS ONE
PLoS ONE, Vol 11, Iss 1, p e0146600 (2016)
PLoS ONE
PLoS ONE, Vol 11, Iss 1, p e0146600 (2016)
Epidemiological modeling for infectious disease is important for disease management and its routine implementation needs to be facilitated through better description of models in an operational context. A standardized model characterization process t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ac9cafe6775f23eef01ef32ec080697
Autor:
M. G. Brown, Lauren Castro, W. Brent Daniel, Kristen Margevicius, Alina Deshpande, Kirsten J. Taylor-McCabe, Eric Generous, Andrea Hengartner
Publikováno v:
Online Journal of Public Health Informatics
The Biosurveillance Data Stream Framework and associated definitions are proposed as a starting point to facilitate the development of a standardized lexicon for biosurveillance and characterization of currently used and newly emerging data streams.
Autor:
Kirsten J. Taylor-McCabe, Nicholas Generous, Kristen Margevicius, M. G. Brown, Alina Deshpande, Lauren Castro
Publikováno v:
Online Journal of Public Health Informatics
To aid in developing a global biosurveillance program, it is critical to develop a framework to capture and understand the myriad of data streams and evaluate them in context of surveillance goals. Toward this goal, Los Alamos National Laboratory has
Autor:
Lauren Castro, Eric Generous, Kristen Margevicius, Reid Priedhorsky, Joseph Longo, Kirsten J. Taylor-McCabe, Alina Deshpande
Publikováno v:
Online Journal of Public Health Informatics
Situational awareness is important in responding to rapidly unfolding events. To better provide actionable information and knowledge, Los Alamos National Laboratory has developed an app that contextualizes unfolding disease outbreaks in relation to h
Autor:
Andrea Hengartner, Alina Deshpande, Kirsten J. Taylor-McCabe, W. Brent Daniel, M. G. Brown, Nicholas Generous, Kristen Margevicius, Lauren Castro
Publikováno v:
PLoS ONE, Vol 9, Iss 1, p e86601 (2014)
Online Journal of Public Health Informatics
PLoS ONE
Online Journal of Public Health Informatics
PLoS ONE
The National Strategy for Biosurveillance defines biosurveillance as "the process of gathering, integrating, interpreting, and communicating essential information related to all-hazards threats or disease activity affecting human, animal, or plant he
Autor:
Kirsten Mccabe, M. G. Brown, Eric Generous, Joseph Longo, Lauren Castro, Kristen Margevicius, William B. Daniel, Andrea Hengartner, Alina Deshpande, Zachary A. Parliman
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74cac624138e07840ed99762526e9a5f
https://doi.org/10.2172/1077029
https://doi.org/10.2172/1077029
Autor:
Lauren Castro, Kristen Margevicius, Kirsten J. Taylor-McCabe, Alina Deshpande, M. G. Brown, William B. Daniel, Andrea Hengartner, Eric Generous
Publikováno v:
Online Journal of Public Health Informatics
Objective The overall objective of this project is to provide a robust evaluation of data streams that can be leveraged from existing and developing national and international disease surveillance systems, to create a global disease monitoring system
Autor:
Eric Nick Generous, William B. Daniel, Kristen Margevicius, Lauren Castro, M. G. Brown, Alina Deshpande, Kirsten Mccabe
Publikováno v:
Online Journal of Public Health Informatics
Objective The goal of this project is the evaluation of data stream utility in integrated, global disease surveillance. This effort is part of a larger project with the goal of developing tools to provide decision-makers with timely information to pr