If you do find it, I’d be interested to read that.
I would guess that it’s difficult for people to intuitively understand precisely why randomization is so useful, although other aspects of RCTs are probably easier to grasp – particularly, the experimental part of giving treatment A to one group and treatment B to another group and following up their outcomes. But overall I think I would agree with you; people need less understanding of confounders and selection bias to read an RCT than they’d need to read an observational study.
Actually I could be incorrect. I think Eva Vivalt has a paper on this (no time to dig up right now).
If you do find it, I’d be interested to read that.
I would guess that it’s difficult for people to intuitively understand precisely why randomization is so useful, although other aspects of RCTs are probably easier to grasp – particularly, the experimental part of giving treatment A to one group and treatment B to another group and following up their outcomes. But overall I think I would agree with you; people need less understanding of confounders and selection bias to read an RCT than they’d need to read an observational study.
I think it’s this paper http://evavivalt.com/wp-content/uploads/Weighing-the-Evidence.pdf. Fwiw, all of Eva’s papers are worth reading!
Sidenote—love your work and WiP (I’m also part of the PS community). Hope to see you on the EAF again!
Oh, I remember reading this paper now! It’s great, thanks for sharing.
And thank you very much :) I will be here more often for sure.