Timeline for Presenting Logistic Regression Results (Imbalanced Data, Small Sample Size)
Current License: CC BY-SA 3.0
14 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| S Jun 13, 2017 at 19:42 | history | bounty ended | sharper_image | ||
| S Jun 13, 2017 at 19:42 | history | notice removed | sharper_image | ||
| Jun 13, 2017 at 19:41 | vote | accept | sharper_image | ||
| Jun 10, 2017 at 18:09 | answer | added | Will | timeline score: 0 | |
| Jun 9, 2017 at 0:16 | history | tweeted | twitter.com/StackStats/status/872970696720306177 | ||
| Jun 6, 2017 at 22:32 | comment | added | sharper_image | Thank you for your comments. The four features are binary. | |
| Jun 6, 2017 at 21:02 | comment | added | usεr11852 | 8% out of 300 observation is about... 24 samples. 24 samples for four relevant features seems very hopeful even to just "elucidate potential for future research". As suggested by Jon I would also stay away from SMOTE. Bootstrapping is probably the way to go on this. You do not mentioned the distribution of the four relevant features in the sample and that is also important. | |
| Jun 6, 2017 at 20:38 | answer | added | Nicolas K | timeline score: 3 | |
| Jun 6, 2017 at 20:31 | comment | added | Jon | I wouldn't try to use something like SMOTE. If you're really concerned about imbalance, you can bootstrap your parameters. But that sounds more than what's needed for this project. Just present your estimates as they are and speak of the limitations. Don't try to solve everything. | |
| S Jun 6, 2017 at 20:25 | history | bounty started | sharper_image | ||
| S Jun 6, 2017 at 20:25 | history | notice added | sharper_image | Authoritative reference needed | |
| Jun 1, 2017 at 22:20 | comment | added | David Smith | Look at some of the places you might want to publish in. Take reports from them as a guide, not quite a standard since you want to be better than other reports. You should also report some summary information about the total regression, eg, the overall likelihood. You should have some additional analyses that help convince you of your results and might be needed if you are asked for more information. | |
| Jun 1, 2017 at 20:49 | history | edited | sharper_image | CC BY-SA 3.0 |
added 4 characters in body
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| Jun 1, 2017 at 4:00 | history | asked | sharper_image | CC BY-SA 3.0 |