Timeline for Which regression model for percentage data with many zeros and ones?
Current License: CC BY-SA 4.0
12 events
| when toggle format | what | by | license | comment | |
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| Sep 29, 2021 at 7:16 | comment | added | Maël | Not sure if that fits for you, but you may want to look at tobit and hurdle models. | |
| Sep 29, 2021 at 7:04 | 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. | |
| May 25, 2021 at 19:01 | 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. | |
| Jan 22, 2021 at 20:06 | 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. | |
| Sep 17, 2020 at 8:00 | 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. | |
| Jul 1, 2019 at 0:00 | answer | added | Naomi Fridman | timeline score: -1 | |
| May 15, 2019 at 10:56 | comment | added | Frank Harrell |
I would strongly consider semiparametric ordinal regression, e.g., the proportional odds model as implemented in the R rms package orm function.
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| May 15, 2019 at 10:03 | history | edited | Ferdi |
edited tags
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| May 14, 2019 at 18:45 | review | Close votes | |||
| May 15, 2019 at 10:03 | |||||
| May 14, 2019 at 15:14 | comment | added | Nick Cox | You say percent but your graph seems to imply that you are working an outcome or response which is a proportion or fraction. Buzzwords here are beta regression and logit regression with mild controversy about which is to be preferred. | |
| May 14, 2019 at 15:10 | review | First posts | |||
| May 14, 2019 at 18:27 | |||||
| May 14, 2019 at 15:05 | history | asked | slow.riot | CC BY-SA 4.0 |