Search Results
| Search type | Search syntax |
|---|---|
| Tags | [tag] |
| Exact | "words here" |
| Author |
user:1234 user:me (yours) |
| Score |
score:3 (3+) score:0 (none) |
| Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
| Views | views:250 |
| Code | code:"if (foo != bar)" |
| Sections |
title:apples body:"apples oranges" |
| URL | url:"*.example.com" |
| Saves | in:saves |
| Status |
closed:yes duplicate:no migrated:no wiki:no |
| Types |
is:question is:answer |
| Exclude |
-[tag] -apples |
| For more details on advanced search visit our help page | |
Results tagged with separation
Search options answers only
not deleted
user 8013
Separation occurs when some classes of a categorical outcome can be perfectly distinguished by a linear combination of other variables.
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. …
- 64.8k
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. …
- 30.7k
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 …
- 64.8k
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 …
- 64.8k