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Very interesting talk by @mendelrandom.bsky.social on the apparent effect of shingles vaccines on dementia. Clear discontinuity from shingles vaccines on shingles, but not on dementia, in this much larger follow up in England, using similar analytic choices as the Wales study that showed a benefit.

George Davey Smith@mendelrandom.bsky.social

How strong is the evidence that live shingles vaccination prevents the risk of dementia? A talk yesterday @oxprimarycare.bsky.social on this available here youtu.be/qlTnnQytOJ0

Worth noting that many (not all) of the observational studies so far have been funded by GSK, which sells the shingles vaccine. Vaccines are great and the shingles vaccine is also great (for shingles), but people have got to be a little more skeptical of observational studies funded by pharma IMHO.

TBH it just shows how hard this stuff is to do, and the many traps that are easy to fall into when working with these types observational data - where you have no control over the data generating process. This seems to be “kicking the tyres” on SAIL findings, which is how it should be.

People also need to think about how the extremely expensive access fees for SAIL and related systems mean only pharma has access to the relevant data, with all but the best funded public researchers shut out.

I was just away, but ... The data are from the NHS, which are made available to researchers via secure environments. The rules are the costs have to be the same for everyone, which seems fine until you realise it's a license for big pharma to p-hack.

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P-hacking is a greater risk when data have already been collected. Pharma has led the way in the clinical trials arena to avoid p-hacking (pre-specification in protocols, SAPs, now estimands) for prospectively collected data. P-hacking using retrospective data is a much wider problem than Pharma.

I'm not disparaging pharma, but they (like academics) need to be within an incentive framework that encourages good behaviour - and I worry that the trusted data environments for observational work are not that.

Academic studies on observational data also tend to suffer from false positives of course but it's tens of thousands of pounds to run even the simplest analysis so they won't be able to run lots of associations, it will be more forking paths type problems (I conjecture).

SAIL etc work on cost recovery basis. There is no token-like costs as far as I am aware. More familiar with administrative data access via digital economy act, but never come across the cost based on number of analyses, once data is accessed via TREs, but will check.