Below is a tutorial on the uses of Logistic Regression to help identify key factors in Covid-19 Clinical Trials. The data analyzed was created by this researcher, using his experience and information.
https://www.researchgate.net/publication/346956247_Logistic_Regression_in_Factor_Identification_of_Covid-19_Vaccine_Clinical_Trials
We want to reach four audiences: (1) public health professionals and researchers, (2) medical doctors, (3) statisticians and (4) the public in general. We want to provide illustrative examples to doctors, public health researchers, and the general public, to help them better understand what the others do, fostering more efficient collaboration and better science.
As we said in our previous ASA Community post, vaccine development, including clinical trials and release decisions, must be science and not politically based. When a vaccine is released, it is because its risk analysis has proven vaccine yields more benefits than harm. The early release of Covid-19 vaccines is due to the urgency created by having more than a million deaths already world-wide, and 300 thousand already occurred in the USA, and counting.
Thank-you/Jorge.
------------------------------
Jorge L. Romeu
Emeritus SUNY Faculty
Adjunct Professor, Syracuse U.
https://web.cortland.edu/romeu/https://www.researchgate.net/profile/Jorge_Romeu------------------------------