Statistics

Working paper available on medrxiv [https://doi.org/10.1101/2020.06.12.20129551](https://doi.org/10.1101/2020.06.12.20129551 ) Summary - A collaborative research effort with researchers and clinicians at the University of Utah. We present a method for projecting COVID-19 post-acute care needs. Our model is designed to take the output from any of the numerous epidemiological models (hospital discharges) and estimate the flow of patients to post-acute care services, thus providing a similar surge planning model for post-acute care services. See my [my blog post about this project](/post/post-acute-care/).

The Southern Utah Wilderness Alliance recently hired me to structure and analyze their donor mailing campaign data. My engagement culminated in producing a dashboard they can use for ongoing data management, mailer analysis, and A/B testing.

Uncertainty has been defining our personal and professional lives since early March, when COVID-19 began spreading widely in the United States. Bayesian thinking can help formalize and manage this uncertainty. Read about my collaboration with researchers and clinicians at the University of Utah to help plan for COVID-19 post-acute care needs.

Published in the Journal of Behavioral and Experimental Economics [https://doi.org/10.1016/j.socec.2018.10.007](https://doi.org/10.1016/j.socec.2018.10.007) Summary - A behavioral economics experiment conducated at the University of Wyoming. We investigate the possibility of overcoming the free-riding problem through creating social capital via communication. Using data from a public goods experiment, we empirically test the effectiveness of two commonly used types of communication interventions in various organizations — structured, goal-oriented communication and unstructured, free-form communication — in creating social capital.