Timeline for Continuous dependent variable with upper and lower bounds: logit transformation appropriate?
Current License: CC BY-SA 3.0
6 events
| when toggle format | what | by | license | comment | |
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| Jan 9, 2018 at 17:07 | history | edited | Yfendra | CC BY-SA 3.0 |
Goodness of fit and logit as smoother
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| Jan 9, 2018 at 15:22 | comment | added | Yfendra | @NickCox in my opinion, logit transformation works better to linearise binary responses, which change rapidly around its cut off (S-shaped plot). But yes, it doesn’t mean this transformation belongs to categorical variable only. How do you think? | |
| Jan 9, 2018 at 14:26 | comment | added | Nick Cox | Logit is for categorical variable? Not necessarily so. What we now call logit was used to transform continuous proportions over several decades long before it was introduced as (in more recent terms) a link function for binary responses. The main thing to worry about with log$[p/(1-p)]$ is that it is not defined for $p$ of 0 or 1. | |
| Jan 9, 2018 at 14:05 | review | Late answers | |||
| Jan 9, 2018 at 14:22 | |||||
| Jan 9, 2018 at 13:45 | review | First posts | |||
| Jan 9, 2018 at 15:47 | |||||
| Jan 9, 2018 at 13:40 | history | answered | Yfendra | CC BY-SA 3.0 |