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プロフィール詳細

プロジェクトを作成

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Dr. Ben B.に依頼

United States

プロフィール概要

I have a Ph.D. in statistics from Oregon State University where I did research in disease surveillance for diseases that are imperfectly detected using N-mixture Models. While at Oregon State I took courses on numerous statistical methods and theory, including linear and nonlinear regression, generalized linear models, mixed effect models, survival analysis, and Bayesian methods. Additionally, I am a strong coder in both Python and R.

専門分野

• ☆ Surveillance Systems
• ☆ Statistics
• ☆ Regression Analysis
• ☆ Nonlinear Regression
• ☆ Bayesian Statistics
• ☆ Educational Statistics
• ☆ Python
• ☆ R

サービス

• Writing
• Consulting
• Data & AI
• Product Development

職務経験

Statistician/Data Scientist Intern

Pacific Northwest National Lab

6月 2015 - 9月 2015

学歴

Ph.D.

Oregon State University

9月 2012 - 3月 2018

認定資格

• 認定資格の詳細は未入力です。

出版物

JOURNAL ARTICLE

Ben J Brintz, Benjamin Haaland, Joel Howard, Dennis L Chao, Joshua L Proctor, Ashraful I Khan, Sharia M Ahmed, Lindsay T Keegan, Tom Greene, Adama Mamby Keita, et al.(2021). A modular approach to integrating multiple data sources into real-time clinical prediction for pediatric diarrhea . eLife. 10. {eLife} Sciences Publications, Ltd

Neha R. Malhotra, Jessica D. Smith, Alexandra C. Jacobs, Cali E. Johnson, Uzer S. Khan, Halle B. Ellison, Benjamin J. Brintz, Morgan M. Millar, William G. Cloud, Jeffry Nahmias, et al.(2021). High value care education in general surgery residency programs: A multi-institutional needs assessment . The American Journal of Surgery. Elsevier {BV}

Jody R Reimer, Sharia M Ahmed, Benjamin Brintz, Rashmee U Shah, Lindsay T Keegan, Matthew J Ferrari, Daniel T Leung(2021). Using a clinical prediction rule to prioritize diagnostic testing leads to reduced transmission and hospital burden: A modeling example of early SARS-CoV-2 . Clinical Infectious Diseases. Oxford University Press ({OUP})

Ben J. Brintz, Matthew C. Freeman, Joel I. Howard, Benjamin Haaland, James A. Platts-Mills, Tom Greene, Adam C. Levine, Eric J. Nelson, Andrew T. Pavia, Karen L. Kotloff, et al.(2020). Clinical predictors for etiology of acute diarrhea in children in resource-limited settings . PLOS Neglected Tropical Diseases. 14. (10). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString e0008677. Public Library of Science ({PLoS})

(2020). Clinical and laboratory predictors of 30‐day mortality in severe acute malnourished children with severe pneumonia . Tropical Medicine & International Health.

Ben Brintz, Claudio Fuentes, Lisa Madsen(2018). An asymptotic approximation to the N‐mixture model for the estimation of disease prevalence . Biometrics. Wiley

OTHER

Ben J. Brintz, Benjamin Haaland, Joel Howard, Dennis L. Chao, Joshua L. Proctor, Ashraful I. Khan, Sharia M. Ahmed, Lindsay T. Keegan, Tom Greene, Adama Mamby Keita, et al.(2020). A modular approach to integrating multiple data sources into real-time clinical prediction for pediatric diarrhea . Cold Spring Harbor Laboratory

Ben J. Brintz, Benjamin Haaland, Joel Howard, Dennis L. Chao, Joshua L. Proctor, Ashraful I. Khan, Sharia M. Ahmed, Lindsay T. Keegan, Tom Greene, Adama Mamby Keita, et al.(2020). A modular approach to integrating multiple data sources into real-time clinical prediction for pediatric diarrhea . Cold Spring Harbor Laboratory

Jody R. Reimer, Sharia M. Ahmed, Benjamin Brintz, Rashmee U. Shah, Lindsay T. Keegan, Matthew J. Ferrari, Daniel T. Leung(2020). Modeling reductions in SARS-CoV-2 transmission and hospital burden achieved by prioritizing testing using a clinical prediction rule . Cold Spring Harbor Laboratory

Jody R. Reimer, Sharia M. Ahmed, Benjamin Brintz, Rashmee U. Shah, Lindsay T. Keegan, Matthew J. Ferrari, Daniel T. Leung(2020). Modeling reductions in SARS-CoV-2 transmission and hospital burden achieved by prioritizing testing using a clinical prediction rule . Cold Spring Harbor Laboratory