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Separation occurs when some classes of a categorical outcome can be perfectly distinguished by a linear combination of other variables.
15
votes
Is G*Power reliable for logistic regression? It does not seem to account for Hauck-Donner
You are correct that G*Power does not account for Hauck-Donner effect. This does not mean that G*Power is unreliable for a logistic regression analysis. You access the documentation here:
https://www. …
1
vote
Accepted
Fisher Scoring Algorithm did not converge however model output looks fine in R
This is separation. As a result the odds ratio tends to explode off into infinity, and the model results can't be trusted. …
7
votes
Accepted
Is it possible to simulate logistic regression without randomness?
x1
-2.528e-16 3.000e-01
This relates to your question because the parameter estimates are exactly as defined in your probability model, independent of the design of $x$, and without separation …
6
votes
How to deal with perfect separation in logistic regression?
For logistic models for inference, it's important to first underscore that there is no error here. The warning in R is correctly informing you that the maximum likelihood estimator lies on the boundar …