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Combining Computational Fluid Dynamics and Agent-Based Modeling: A New Approach to Evacuation Planning

CITE Title : Combining Computational Fluid Dynamics and Agent-Based Modeling: A New Approach to Evacuation Planning Personal Author(s) : Epstein, Joshua M.;Pankajakshan, Ramesh;Hammond, Ross A.; Published Date : May 31 2011 Source : PLoS One. 2011; 6(5). URL : https://stacks.cdc.gov/view/cdc/22831 Epstein, Joshua M. et al. (2011). Combining Computational Fluid Dynamics and Agent-Based Modeling: A New Approach to Evacuation Planning. 6(5). Epstein, Joshua M. and Pankajakshan, Ramesh and Hammond, Ross A. "Combining Computational Fluid Dynamics and Agent-Based Modeling: A New Approach to Evacuation Planning" 6, no. 5 (2011) Epstein, Joshua M. et al. "Combining Computational Fluid Dynamics and Agent-Based Modeling: A New Approach to Evacuation Planning" vol. 6, no. 5, 2011 Export RIS Citation Information.

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Epstein, Joshua M. ;

Pankajakshan, Ramesh

May 31 2011 | PLoS One. 2011; 6(5).

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We introduce a novel hybrid of two fields-Computational Fluid Dynamics (CFD) and Agent-Based Modeling (ABM)-as a powerful new technique for urban evac...
Median and Quantile Tests under Complex Survey Design using SAS and R

CITE Title : Median and Quantile Tests under Complex Survey Design using SAS and R Personal Author(s) : Pan, Yi;Caudill, Sam;Li, Ruosha;Caldwell, Kathy L.; Published Date : Jul 28 2014 Source : Comput Methods Programs Biomed. 117(2):292-297. URL : https://stacks.cdc.gov/view/cdc/50415 Pan, Yi et al. (2014). Median and Quantile Tests under Complex Survey Design using SAS and R. 117(2). Pan, Yi et al. "Median and Quantile Tests under Complex Survey Design using SAS and R" 117, no. 2 (2014) Pan, Yi et al. "Median and Quantile Tests under Complex Survey Design using SAS and R" vol. 117, no. 2, 2014 Export RIS Citation Information.

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Pan, Yi ;

Caudill, Sam

Jul 28 2014 | Comput Methods Programs Biomed. 117(2):292-297.

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Techniques for conducting hypothesis testing on the median and other quantiles of two or more subgroups under complex survey design are limited. In th...
QRAD (Quantal Risk Assessment Database): a database for exploring patterns in quantal dose-response data in risk assessment and its application to develop priors for Bayesian dose-response analysis

CITE Title : QRAD (Quantal Risk Assessment Database): a database for exploring patterns in quantal dose-response data in risk assessment and its application to develop priors for Bayesian dose-response analysis Personal Author(s) : Wheeler, Matthew W.;Piegorsch, Walter W.;Bailer, A. John; Published Date : 3 2019;3-2019; Source : Risk Anal. 39(3):616-629 URL : https://stacks.cdc.gov/view/cdc/78516 Wheeler, Matthew W. et al. (2019). QRAD (Quantal Risk Assessment Database): a database for exploring patterns in quantal dose-response data in risk assessment and its application to develop priors for Bayesian dose-response analysis. 39(3). Wheeler, Matthew W. and Piegorsch, Walter W. and Bailer, A. John "QRAD (Quantal Risk Assessment Database): a database for exploring patterns in quantal dose-response data in risk assessment and its application to develop priors for Bayesian dose-response analysis" 39, no. 3 (2019) Wheeler, Matthew W. et al. "QRAD (Quantal Risk Assessment Database): a database for exploring patterns in quantal dose-response data in risk assessment and its application to develop priors for Bayesian dose-response analysis" vol. 39, no. 3, 2019 Export RIS Citation Information.

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Wheeler, Matthew W. ;

Piegorsch, Walter W.

3 2019 | Risk Anal. 39(3):616-629

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Quantitative risk assessments for physical, chemical, biological, occupational, or environmental agents rely on scientific studies to support their co...
Evaluating Diabetes Mobile Applications for Health Literate Designs and Functionality, 2014

CITE Title : Evaluating Diabetes Mobile Applications for Health Literate Designs and Functionality, 2014 Personal Author(s) : Caburnay, Charlene A.;Graff, Kaitlin;Harris, Jenine K.;McQueen, Amy;Smith, Madeleine;Fairchild, Maggie;Kreuter, Matthew W.; Published Date : May 07 2015 Source : Prev Chronic Dis. 12. URL : https://stacks.cdc.gov/view/cdc/31366 Journal Title : Preventing Chronic Disease (PCD) Caburnay, Charlene A. et al. (2015). Evaluating Diabetes Mobile Applications for Health Literate Designs and Functionality, 2014. 12 Caburnay, Charlene A. et al. "Evaluating Diabetes Mobile Applications for Health Literate Designs and Functionality, 2014" 12 (2015) Caburnay, Charlene A. et al. "Evaluating Diabetes Mobile Applications for Health Literate Designs and Functionality, 2014" vol. 12, 2015 Export RIS Citation Information.

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Caburnay, Charlene A. ;

Graff, Kaitlin

May 07 2015 | Prev Chronic Dis. 12.

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IntroductionThe expansion of mobile health technologies, particularly for diabetes-related applications (apps), grew exponentially in the past decade....