Sources of bias in observational studies of covid-19 vaccine effectiveness
In other words, 90%+ COVID "vaccine" efficacy claims are all bogus.
Discussion of multiple factors that can bias estimates of covid-19 vaccine effectiveness, such as:
vaccination status misclassification;
testing differences; and
disease risk factor confounding.
Our article complements these observations by providing examples based on actual data sets that quantify how case-counting window bias, age bias, and background infection rate bias can profoundly complicate the analysis of observational studies, shifting covid-19 vaccine effectiveness estimates by an absolute magnitude as high as 50% to 70%.
Sources of bias in observational studies of covid-19 vaccine effectiveness
Kaiser Fung MPhil, MBA, Mark Jones PhD, Peter Doshi PhD
First published: 26 March 2023
I think most of what we thought we knew about vaccines is bogus. Very interesting to read the history of vaccines and how they were supposedly miracle cures for polio, measles et al. Most of what we grew up 'knowing' was likely false and it was ever the same story - the ordinary people knew the vaccines didn't work and caused serious harms but the establishment and doctors refused to listen.
The data is so dirty, you have to ask is it worth spending time trying to clean it up. Deaths, cause of death, cases, vaccination status are all deliberately muddied. Along comes the pandemic and a few honest data scientists like yourself try to make sense of it all, not knowing that Big Pharma has been practicing this deceit for years.