Timeline for Logistic Regression with dummy variables? [duplicate]
Current License: CC BY-SA 4.0
6 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Oct 8, 2020 at 7:16 | history | closed |
kjetil b halvorsen♦ Thomas Lumley mdewey Carl Stephan Kolassa |
Duplicate of Confused about 0 intercept in logistic regression in R | |
| Oct 3, 2020 at 17:11 | comment | added | kjetil b halvorsen♦ | stats.stackexchange.com/questions/131456/… stats.stackexchange.com/questions/430906/… stats.stackexchange.com/questions/154404/… stats.stackexchange.com/questions/230839/…, stats.stackexchange.com/questions/215779/… | |
| Oct 3, 2020 at 16:42 | review | Close votes | |||
| Oct 8, 2020 at 7:16 | |||||
| Oct 3, 2020 at 16:38 | comment | added | user78229 | Logistic regression with dummy variables is equivalent to linear discriminant analysis. Inversion of the cross-products matrix with an intercept and dummies spanning all of the possible combinations is not about multicollinearity. It's about complete or quasi-complete separation, a data problem that will cause maximum likelihood estimation convergence to fail. Paul Allison explains this well here, researchgate.net/publication/228813245_ | |
| Oct 3, 2020 at 16:22 | history | edited | kjetil b halvorsen♦ | CC BY-SA 4.0 |
edited tags
|
| Oct 3, 2020 at 14:59 | history | asked | CheeseBurger | CC BY-SA 4.0 |