But actually we can check that by only looking at symptom onset more than a week after jab, but n fact the onset of almost all of the symptoms associated with these visits started later than 1 week post jab so it won't change much
Hi OpenVAET, Great work! I'm trying to run your Perl code, but getting: Missing file [public/doc/pfizer_trials/pfizer_trial_demographics_merged.json] at analyse_local_and_central_by_site.pl line 220. Do I need to run some other routine first to create this and other json files?
Regarding the results, to avoid possible criticisms of p-hacking / cherry picking, it would be nice to see a histogram of all of the p-values. Under the null hypothesis of no differences between arms, this distribution should be uniform. If it has an overabundance of small ps, then we have solid evidence across all sites. In addition, it would make sense to apply a multiple testing correction like False Discovery Rate to see how it adjusts the p-values.
Great work, but isn't this explained by mild post-vaccination symptoms in the days following vaccinations? Investigators likely told participants to ignore these.
👏👏Great work. Fascinating that there were only 800 central pcrs in the treatment group
But actually we can check that by only looking at symptom onset more than a week after jab, but n fact the onset of almost all of the symptoms associated with these visits started later than 1 week post jab so it won't change much
Hi OpenVAET, Great work! I'm trying to run your Perl code, but getting: Missing file [public/doc/pfizer_trials/pfizer_trial_demographics_merged.json] at analyse_local_and_central_by_site.pl line 220. Do I need to run some other routine first to create this and other json files?
Regarding the results, to avoid possible criticisms of p-hacking / cherry picking, it would be nice to see a histogram of all of the p-values. Under the null hypothesis of no differences between arms, this distribution should be uniform. If it has an overabundance of small ps, then we have solid evidence across all sites. In addition, it would make sense to apply a multiple testing correction like False Discovery Rate to see how it adjusts the p-values.
As a control, can you possibly report on the testing rates of the sites that were the most skewed towards testing the vaccine group?
I request the highest of fives:
https://www.youtube.com/watch?v=sc0848ovEMo
Great work, but isn't this explained by mild post-vaccination symptoms in the days following vaccinations? Investigators likely told participants to ignore these.