A Mathematical Perspective: Data for the early outpatient treatment of COVID-19

A Mathematical Perspective: Data for the early outpatient treatment of COVID-19
This is an abbreviated short presentation summarizing my statistical analysis of case series that provide evidence in support of both Zelenko's protocol and McCullough's protocol
for early outpatient trestment of COVID-19. The presentation should be accessible to undergraduate students, and is more conceptual and less mathematical. This presentation was originally prepared for an invited short guest lecture in an undergraduate course in the area of health sciences.

Download slides:
https://faculty.utrgv.edu/eleftherios.gkioulekas/presentations/2021-early-treatment-15min-talk.html

For more details, read our preprint:
E. Gkioulekas, P.A. McCullough, V. Zelenko: "Frequentist and Bayesian analysis methods for case series data and application to early outpatient COVID-19 treatment case series"
https://doi.org/10.6084/m9.figshare.19372046.v4

This presentation does not necessarily represent the opinions or policies of the University of Texas -- Rio Grande Valley, but it is protected under Academic Freedom in Research and the 1st Amendment of the United States Constitution.