Timeline for Regression with both Original value and log transformation
Current License: CC BY-SA 4.0
9 events
| when toggle format | what | by | license | comment | |
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| Oct 21, 2023 at 14:02 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Jun 22, 2023 at 8:04 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Apr 23, 2020 at 5:12 | answer | added | kjetil b halvorsen♦ | timeline score: 3 | |
| Apr 23, 2020 at 5:08 | history | edited | kjetil b halvorsen♦ | CC BY-SA 4.0 |
deleted 27 characters in body; edited tags
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| Jan 28, 2020 at 22:51 | comment | added | AdamO | It's fine. The easiest way to think about it is that it is just a more flexible non-linear representation of the effect. They can't be perfectly collinear unless you have fewer than 3 distinct values of the exposure. | |
| Jan 28, 2020 at 22:24 | comment | added | Bruce | Thanks it is a little different, as he claimed X^2 and X, My case is X and Log X, I guess one possible explanation is that col-linearity test only concern about linear relationship in IVs, while logX and X are non linear relationship | |
| Jan 28, 2020 at 21:48 | comment | added | kjetil b halvorsen♦ | Maybe a dup: stats.stackexchange.com/questions/277316/… | |
| Jan 28, 2020 at 21:45 | review | First posts | |||
| Jan 29, 2020 at 2:12 | |||||
| Jan 28, 2020 at 21:43 | history | asked | Bruce | CC BY-SA 4.0 |