Can anyone weigh in on the methodology or data?
(Interesting to note that the linked page puts this article in something like the 99th percentile for how much it’s tweeted, which I would put squarely in the “reduces my confidence” category…)
Can anyone weigh in on the methodology or data?
(Interesting to note that the linked page puts this article in something like the 99th percentile for how much it’s tweeted, which I would put squarely in the “reduces my confidence” category…)
Basically you have a data set and some statistical evaluation. The gabs are filled with some medical and statistical "Mumbo Jambo" I didn't read. Seems professional, the graphs are pretty clear cut, which is nice.
The discussion basically states that the data is flawed for the purpose of making clear connections and urges the necessity to provide better data in the future. They aren't even able to make their derived call data public, due to privacy laws in this case.
They are absolute right and have a valid point here. No reason not to publish this and it conveys some important messages.
We should gather better data and find a way to share it, without touching on the privacy of individuals. A very difficult topic I personally wouldn't touch with a stick.
Agree completely. This topic has got so ideological that if (when) it comes up in conversation I tend to demur and politely change the subject.
Perhaps at some point there will be a genuine attempt to gather more data on just who genuinely benefits from vaccination (obese/elderly/other comorbidities?), and who doesn't (young/healthy).
One thing we can be sure of is that no such study will ever be funded by Big Pharma.
It won't have any effect on the final result, which basically states that the data set is insufficient.
It's Scientific Reports from the same publisher, but not Nature, the journal itself. Scientific Reports has a very high acceptance rate, i.e. they publish pretty much anything that passes peer review.
I think the real question is the quality of peer review. A "high rate of acceptance" isn't bad if accepting an article happens only after good quality peer review. But a high rate of acceptance without adequate peer review would be a big source of concern.
Not sure which of these publishing considerations applies to this article. I'll have to go over it again in detail when I'm more rested, anyway on quick overview I didn't spot any glaring problems in it.
It seems like the authors probably went into this with a conclusion in mind…
Doing basic checks like "what else did the authors publish" seem fairly sensible.