Timeline for Using logistic regression for a continuous dependent variable
Current License: CC BY-SA 3.0
26 events
| when toggle format | what | by | license | comment | |
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| Mar 9, 2018 at 6:00 | answer | added | David Dale | timeline score: 0 | |
| Oct 4, 2014 at 12:29 | comment | added | Frank Harrell | No, scaling to 0-1 or discarding valuable information y categorizing the score are not good solutions at all. | |
| Oct 4, 2014 at 11:35 | answer | added | user36853 | timeline score: 0 | |
| Sep 4, 2014 at 22:38 | vote | accept | PSS | ||
| Oct 15, 2013 at 16:03 | comment | added | PSS | Hi, would someone please help me how to answer the reviewer's comment on small value of R-Squared ? what's the most reasonable and acceptable answer that I could provide? | |
| Sep 14, 2013 at 4:45 | vote | accept | PSS | ||
| Sep 4, 2014 at 22:37 | |||||
| Sep 13, 2013 at 21:15 | answer | added | pontikos | timeline score: -1 | |
| Sep 13, 2013 at 18:58 | vote | accept | PSS | ||
| Sep 14, 2013 at 4:44 | |||||
| Sep 13, 2013 at 18:05 | comment | added | PSS | yeah; it's between 0 and 100. So, I try to divide score into four categories (0-25; 26-50; 51-75; 76-100) then run logistic regression on it. | |
| Sep 13, 2013 at 17:07 | answer | added | Frank Harrell | timeline score: 6 | |
| Sep 13, 2013 at 15:47 | history | edited | gung - Reinstate Monica | CC BY-SA 3.0 |
light editing
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| Sep 13, 2013 at 15:29 | history | edited | Gala | CC BY-SA 3.0 |
capitalization
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| Sep 13, 2013 at 15:14 | comment | added | Sam Livingstone | Is the score something that has to be between 0 and 100? In that case you could divide by 100 and do a logistic regression on the resulting variable, which would always be between 0 and 1...feels a bit odd doing things that way, and I'm not sure how sensible it is, but maybe that's what the reviewer is suggesting? | |
| Sep 13, 2013 at 15:02 | comment | added | benroth | Why not try with logistic regression and see whether it works better? | |
| Sep 13, 2013 at 14:53 | history | edited | PSS | CC BY-SA 3.0 |
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| Sep 13, 2013 at 14:52 | comment | added | PSS | is not there any idea about running logistic regression on continuous dependent variable??? | |
| Sep 12, 2013 at 20:09 | comment | added | PSS | thanks a lot. and would you please recommend good regression method that I make my results more solid as the reviewer said? | |
| Sep 12, 2013 at 19:50 | comment | added | Steve | @Potential Scientist I'm not a Statistician but maybe this guide from the U. of Oregon may help. Outlier Guide | |
| Sep 12, 2013 at 19:35 | history | edited | PSS | CC BY-SA 3.0 |
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| Sep 12, 2013 at 19:26 | comment | added | PSS | I tried my best to deal with outliers before. how could they guess that I didn't deal with outliers before? would you recommend a method to deal with outliers better? | |
| Sep 12, 2013 at 19:23 | history | edited | PSS | CC BY-SA 3.0 |
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| Sep 12, 2013 at 19:22 | comment | added | Martyn | It seems the reviewers issue is with outliers in the data. Could you not just deal with any outliers to satisfy their issues? | |
| Sep 12, 2013 at 19:18 | comment | added | PSS | I edit my post. my statistical knowledge is not good. I would be very thankful if you help. | |
| Sep 12, 2013 at 19:16 | history | edited | PSS | CC BY-SA 3.0 |
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| Sep 12, 2013 at 19:06 | comment | added | whuber♦ | This is a minor point, but understanding how the score is computed can be helpful in providing good answers. Could you edit your question to inform us about that? | |
| Sep 12, 2013 at 18:59 | history | asked | PSS | CC BY-SA 3.0 |