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Darren Dahly
statsepi
I know this is obvious, but you can't find the errors in your data and analysis if you don't actively look for them. A progression:Step 1: Script everything. No point
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I guess we all forgot how there were apparently HCQ shortages, a drug that some people actually need, back in March and April. And I guess nobody has thought through
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Hello friends. Here's a list of things that you should actually worry about instead of p-values:- Poorly-conceived research questions- Poor data stewardship- Sloppy research procedures- Poor measurement- Avoidable errors in
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I don't know which is worse: Scientists that, for pure ignorance, would never use a sample size calculation in any context, or scientists that absolutely insist you need a sample
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If you find @MicrobiomDigest's spot the duplication challenges a bit tooooo challenging, I'll give you an easy one. See if you can spot the batshit crazy in this table 1,
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My excellent colleagues at @UCCPublicHealth held an art challenge. I was blown away and want to share some of the entries (as I get permission to). First up, @B_A_Palmer who
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My own 2 cents on recording lectures, after recording a ton last year that I will now be re-doing after breaking so many eggs. I'm also interested in any suggestions
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It seems appropriate to do a thread on our recent session about the use of Twitter by statisticians. I've given a few talks on Twitter and it's always a bit
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