2) Different # of people in each arm is a problem for statistical efficiency (i.e. uncertainty), but not really for the sorts of biases you're looking to avoid in an RCT, so maybe not such a big deal. 3) The problem here isn't so much the randomization procedure as it is small n.
Nah I'm only looking at RCTs here where people have attempted some kind of randomization. This is one of the worst methods I've ever seen
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Ok, relative to other randomization schemes, the procedure is pretty bad. Relative to other designs (including non randomized), its pretty good. I feel like maybe we should focus more on those other really bad (and far more common) designs.
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Dunno, most non-random designs are pretty open about the issues with causal inference. Bad randomization is used to infer direct causality despite the issues with bias
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