Mathew: It's been almost three months now since you wrote the following:
"I spent two weeks cleaning and organizing the data, and some time writing the paper. Here are the preliminary results .....
The next step for this research is to pass through the hands of some highly experienced and well published professionals as we shape the paper up for submission to medical journals."
If the results were as good as you are claiming, then this is literally some of the most important work on earth. Why haven't you published the paper (even if just on your Substack) so folks can analyze the underlying data?
How did you derive the # of patients (1400 and 1600) for the two categories shown in the first chart (Analysis of Drug XYZ Mortality From All Three Hospitals)?
Mathew: It's been almost three months now since you wrote the following:
"I spent two weeks cleaning and organizing the data, and some time writing the paper. Here are the preliminary results .....
The next step for this research is to pass through the hands of some highly experienced and well published professionals as we shape the paper up for submission to medical journals."
If the results were as good as you are claiming, then this is literally some of the most important work on earth. Why haven't you published the paper (even if just on your Substack) so folks can analyze the underlying data?
That's a very long story. The preprint draft is ready. One of my coauthors is being predatorially sued at the moment.
Several weeks were lost due to me wondering how to handle very bad advice from a would-be coauthor, which is unfortunate.
Let me know how I can make it happen faster. My first piece of advice is do not submit to Current Problems in Cardiology. hahaha
Curious about your progress, now a month following the last comment.
Mathew,
How did you derive the # of patients (1400 and 1600) for the two categories shown in the first chart (Analysis of Drug XYZ Mortality From All Three Hospitals)?
Sam Van Gundy
1,000 treated at hospital 1, plus 400 severity 6+ at hospital 2 (severe enough to get the XYZ) = 1,400.
1,000 not treated with XYZ at hospital 3, plus the 600 at hospital 2 well enough to not require XYZ treatment per their protocols = 1,600
According to the number of patients sick at the stage medicine was applied for that hypothetical hospital protocol.
Hi Matthew, any chance of uploading the raw data + statistical calculations somewhere? Or emailing that through?
The results are very interesting. Any news about data publication? Thanks.