Timeline for Assessing logistic regression models
Current License: CC BY-SA 3.0
10 events
| when toggle format | what | by | license | comment | |
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| Jul 9, 2013 at 15:03 | history | edited | gung - Reinstate Monica | CC BY-SA 3.0 |
light editing & formatting
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| Jan 18, 2012 at 10:25 | vote | accept | Antoine Vernet | ||
| Nov 12, 2011 at 14:58 | history | edited | Antoine Vernet | CC BY-SA 3.0 |
added 30 characters in body
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| Nov 12, 2011 at 14:57 | comment | added | Antoine Vernet | Based on what you say, the sample size doesn't seem to be a problem, because I have about 20000 thousand pairs (of which roughly 20% are successful). | |
| Nov 12, 2011 at 13:35 | comment | added | Frank Harrell | A rough estimate of the minimum sample size needed to do what you are doing is that you need the minimum of the number of events or the number of non-events to exceed 15 times (12 + 5), assuming you had 17 candidate terms in the model. If you did any screening of predictors, making use of $Y$, all bets are off. | |
| Nov 12, 2011 at 13:04 | history | edited | Antoine Vernet | CC BY-SA 3.0 |
added 401 characters in body
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| Nov 11, 2011 at 18:17 | answer | added | gung - Reinstate Monica | timeline score: 7 | |
| Nov 11, 2011 at 18:06 | answer | added | Frank Harrell | timeline score: 13 | |
| Nov 11, 2011 at 17:19 | history | tweeted | twitter.com/#!/StackStats/status/135044100759097344 | ||
| Nov 11, 2011 at 16:17 | history | asked | Antoine Vernet | CC BY-SA 3.0 |