Dr. Eleftherios Gkioulekas presentation at the C19 minisymposium session, November 7 2021

Frequentist and Bayesian analysis methods for case series data for the early outpatient treatment of COVID-19

Abstract: Dr. Zelenko proposed an early outpatient treatment for the SARS-CoV-2 pandemic that has evolved into Dr. McCullough's more detailed sequenced multidrug therapy protocol, corroborated with additional case series by Dr. Procter and Dr. Raoult. We introduce mathematical techniques for conducting rapid statistical analysis of these case series data that can be used to make emergency decisions, on whether to deploy these treatment protocols. In particular, we use the Sterne interval and the Bayesian factor to compare the observational case series outcomes on hospitalizations and death with treatment against the expected hospitalization and mortality rates without treatment.

Presented at the "Efficacy and safety statistics of COVID-19 treatment and prophylaxis protocols" minisymposium session at the 4th Annual Meeting of the SIAM Texas-Louisiana Section on November 7, 2021. This presentation does not necessarily represent the opinions or policies of the presenter's institution or SIAM, but it is protected under Academic Freedom in Research and the 1st Amendment of the United States Constitution.