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Efficient mixed logistic reg w 500k individuals

Phillip Alday 
The problem with random forests is that they don't respect the
hierarchical nature of the data, which depending on the OP's goals may
or may not be a problem. That's in addition to the differences between
random forests vs logistic regression even in a non
hierarchical/multilevel context.

Also, I think the spurious/unstable relationships bit requires some
qualification. Yes, if you're looking at p-values, then with that much
data, you'll typically be able to estimate trivial effects. But the
solution is then not to focus on p-values.

(Not saying random forests and the like aren't useful -- quite the
contrary. But the motivations here are a bit of a red herring.)

Phillip
On 26/12/20 7:14 am, sree datta wrote:

Thread (6 messages)

Mitchell Maltenfort Efficient mixed logistic reg w 500k individuals Dec 23 sree datta Efficient mixed logistic reg w 500k individuals Dec 25 Phillip Alday Efficient mixed logistic reg w 500k individuals Dec 26 Phillip Alday Efficient mixed logistic reg w 500k individuals Dec 26 Mitchell Maltenfort Efficient mixed logistic reg w 500k individuals Dec 26 Mitchell Maltenfort Efficient mixed logistic reg w 500k individuals Dec 26