Timeline for Need an offset in GLMM even when it is almost invariable and an offset-free model yields a better fit?
Current License: CC BY-SA 3.0
5 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jul 30, 2019 at 9:15 | vote | accept | bbKZO | ||
| Jan 23, 2017 at 2:38 | comment | added | bbKZO | Thank you very much, medewey! OK, I think I understand what you mean. I would try examining the relationship between the offset and the outcome. I really appreciate your help. | |
| Jan 22, 2017 at 15:29 | comment | added | mdewey | I feel that understanding the relationship between your proposed offset and your outcome will help you decide what is happening and what to do next. | |
| Jan 21, 2017 at 7:23 | comment | added | bbKZO | Thank you very much, mdewey! I found it embarrassing to say, but I could not understand what you meant by "explore the fit with respect to that variable bearing in mind it might be very affected by outliers or be non-linear". Can you elaborate? I would really appreciate this, thank you. | |
| Jan 20, 2017 at 14:02 | history | answered | mdewey | CC BY-SA 3.0 |