Timeline for multilevel logistic regression with rare events
Current License: CC BY-SA 4.0
5 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Feb 21, 2019 at 20:05 | vote | accept | Erdne Htábrob | ||
| Feb 20, 2019 at 19:16 | answer | added | BHudson | timeline score: 4 | |
| Feb 19, 2019 at 17:23 | comment | added | Erdne Htábrob | Hi! The question is still open, I have to answer something to the reviewer. In some of the clusters it does go down to 3/4 percent which corresponds to a bit more than 2000 observations. | |
| Jan 18, 2019 at 17:50 | comment | added | Robert Long | 10% is not particularly rare, plus you have quite a large sample size - you appear to have around 27,000 observations of the event, with around 27 clusters, so I do not understand why a reviewer would make this suggestion. If the outcome is binary, then a logistic model makes sense. A Poisson model does not, since the outcome is not a count. | |
| Jan 15, 2019 at 15:29 | history | asked | Erdne Htábrob | CC BY-SA 4.0 |