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Hire Dr. Ben B.

United States

USD 120 /hr

Profile Summary

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.

Subject Matter Expertise

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

Services

• Writing
• Consulting
• Data & AI
• Product Development

Work Experience

Statistician/Data Scientist Intern

Pacific Northwest National Lab

June 2015 - September 2015

Education

Ph.D.

Oregon State University

September 2012 - March 2018

Certifications

• Certification details not provided.

Publications

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). p. 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