Timeline for Continuous dependent variable with upper and lower bounds: logit transformation appropriate?
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| Aug 15, 2019 at 21:01 | 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. | |
| Apr 16, 2019 at 3:02 | 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. | |
| Dec 10, 2018 at 15:01 | 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. | |
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| Aug 31, 2018 at 20:17 | comment | added | The Laconic | Use fractional logit. Beta regression doesn’t allow zeros or ones in the dependent variable. | |
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| Jan 9, 2018 at 13:40 | answer | added | Yfendra | timeline score: 2 | |
| Nov 17, 2016 at 11:54 | history | edited | Xi'an |
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| Nov 14, 2016 at 20:15 | comment | added | simonderijck | This concerns a typical bioanalytical experiment: a range of known concentrations of a chemical (independent variable) are determined by a certain analytical method, in this case colorimetric (the dependent variable: absorption of light). The objective is to derive a calibration curve, and use this to infer concentrations in measured experimental samples. The colorimetric method is bound between a background absorption as concentrations approach 0, and a maximum absorption at ever increasing concentrations. - simonderijck | |
| Nov 14, 2016 at 18:35 | comment | added | mdewey | I would have thought beta regression would be slightly more appealing than logistic. Perhaps you need to explain a little bit more about the nature of your variables by editing into your question? | |
| Nov 14, 2016 at 17:38 | review | First posts | |||
| Nov 14, 2016 at 17:43 | |||||
| Nov 14, 2016 at 17:38 | history | asked | simonderijck | CC BY-SA 3.0 |