My two endless complaints on grant reviewing (a) funding agencies, stop with the insane multiple assessment axes. There are perhaps two or three (science vision/excellence, feasibility, competition) and some yes/nos (ethics, data management etc). Focus on overall narrative
(b) Authors; please please do a power calculation, however light and talk about it. *I* am doing back of envelope power calculation on your grants because you haven't done it and *I am sure* you would do a better power calculation than me.
A reminder - power calculations are not a guarantee things will work out. But it means you can't just pretend you will get an answer with (...give me strength...) 4 vs 4 mice.
And it is *super* impressive you can get 100,000 health records, but if your disease is 0.02% incidence then you dealing with very thin numbers and the big number that doesn't have the disease of interest can't save the small number.
It honestly takes a wet afternoon to do power calculations and it is just about not kidding *yourself*. All I want is evidence in the grant that you have just vaguely thought about it. Honestly. I'd take a jpeg of a napkin when you wrote it down.
• • •
Missing some Tweet in this thread? You can try to
force a refresh
A primer (journalists, part written for you) on false positives and why you should (a) know about them but (b) feel confident the system does the right thing for them in a SARS CoV2 world.
False positives is when someone who does not have the thing of interest (in this case, "SARS CoV2 infection") is reported positive by a test. When one does things at the scale of 100,000s, *everything* has a false positive rate, the question is do you understand it+manage it
Just to make this confusing there are different types of false positive for any test, this included. There are samples swaps/tracking errors (very rare but not 0) - this flips a sample in the system, and one of the flips is positive. There is lab contamination (again super rare)>
I just want to remind you of how student return to universities can be a net positive in COVID19. Although contact patterns are likely to go up, this group of young people are also in a more controlled situation where one can handle this high risk for transmission population
So for example one can systematically test - both swab tests and more pooling tests. I am like a stuck record on this, but wastewater testing should be great here with halls of residence - wastewater is nature's free, passive, pooling scheme
The second is that more control/nudging of this population can happen (this is not my expertise, but having large outdoor places undercover to have some level of responsible .... drinking, meeting etc seems v. sensible to me).
For COVID watchers, in particular journalists, a primer (again) to get you through what - best case - will be a bumpy month and could possibly be going the wrong way on the numbers.
(Context: I am an expert on one area - human genetics/genomics; I am one-step-away from experts in other areas; I have one substantial COI on testing in that I'm a long established consultant to Oxford Nanopore which has made a new COVID test)
I will keep banging this drum - your (and government's) solid ground is hospitalisations and random sampled surveys (REACT and ONS in the UK; I think there are equivalent in France and Germany; could French and German pros respond. I don't think there is a regularly one in Spain)
Today was a good day for the UK COVID numbers; The solid(er) ground of the REACT survey indicates slow growth of this set of infections (along with other things - see my thread) + the testing system capacity is up and turn around time is back(ish) to summer levels.
This is a tribute to the public health (both local+national) in the North West and North East, the forbearance of the people living in these lockdown regions and, for testing, the hard work of Pillar1 + Pillar2. Total respect for everyone involved.
The REACT Study from Imperial is out. It is one of the pieces of solid ground to stand on in the COVID epidemic, so really worth digesting (UK Journalists - *do* read this paper and numbers!) imperial.ac.uk/media/imperial…
(First off - huge huge credit to Paul Elliott and Imperial team to realise that this is needed, focus on clean ascertainment, do *the right power calculations* to know how deep one needs to go and doing the logistics and the numbers well. Oh boy. so impressive)
Right - my takeaways - I am a data scientist and human geneticists/genomcist, not an infectious epidemiologist (though I hang with a number of them), so - this is one, semi-informed take. Journalists - I would get Paul Elliott on the phone as he has clearly lived these numbers.
Got a genetics, genomics, computer science or statistics degree? Want to do a postdoc on the genetics of individual variation o (on Medaka fish)? Want to work with myself and @tomaswfitz with @WittbrodtLab in Heidelberg, ERC funded. Apply now! embl.de/jobs/searchjob…
And there is also a similar postdoc position to work on genotype vs environmental toxin effects, again in Medaka fish, working with labs in @WHOI in Massachusetts and @DukeU in North Carolina in the US. Want to experience both sides of the atlantic?
You will join my small but perfectly formed research group, co-run by @tomaswfitz; we have a passion for understanding biology using outbred genetics, with both human and Medaka fish as our go-to species. We're a eclectic, open, fun team embedded in the great @emblebi