Frequentist Methods for Determining Pharmaceutical Risk: Comrehensive Guide
A Dummy's Guide to Safety Signal Analysis for Healthcare Activists and State Legislators
Frequentist methods for safety signal analysis include PRR, ARR, PRD and Chi-Square Analysis of Adverse Event data. The federal and state public health organizations have not done their job- dereliction of duty- in honestly reporting safety signal results to the public and including those results as part of their accurate informed consent responsibility. Healthcare activists should be advocating legislation requiring their states to provide open access to the state’s adverse effects database by implementing the architecture outlined in these posts (more to say after these links):
For pharmaceutical quality monitoring:
For Pharmaceutical Good Manufacturing Practice
For Timely Patient Data to Determine Pharmaceutical Effectiveness, Adverse Effects and Protocol Effectiveness
For Root Cause Analysis of Deaths Potentially Caused By Pharmaceuticals or Protocols
These four bills should establish an integrated database where data from all four projects are integrated for easy query and Root Cause Analysis.
Now, on to analysis. The most common analytical tools for pharmaceutical safety are the frequentist tools. I have written a tutorial document for both activists and legislators describing these tools, providing results from these tools, as well as summarizing the contents of web sites related to the analytical results of these tools.
For activists: The tutorials should help you run your own analysis of your state’s (country’s) data, or find analyses that have already been run.
For legislators: Some of the description of analysis methodologies may not be of interest to you, but the results should encourage action to restrict the Covid-19 “vaccine” pharmaceuticals and to implement the above recommendations through legislation.
The tutorial is: