Timeline for Survival analysis with categorical variable
Current License: CC BY-SA 3.0
8 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Feb 16, 2012 at 12:29 | answer | added | mhermans | timeline score: 0 | |
| Feb 16, 2012 at 5:17 | answer | added | Fomite | timeline score: 3 | |
| Feb 15, 2012 at 19:31 | history | edited | chl | CC BY-SA 3.0 |
edited tags; edited title
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| Jan 16, 2012 at 15:46 | answer | added | Aniko | timeline score: 1 | |
| Jan 16, 2012 at 15:10 | comment | added | teucer | @Aniko The event can happen during the year but is only recorded at the end of the year (I am not considering other variables for time being). The probability is surely time dependent, but I am interested in a "average" probability over the observation window. Actually one of the question I have is which observation window should I choose? I will use the probabilities for prediction, I need to balance accuracy versus stability... | |
| Jan 16, 2012 at 14:27 | history | tweeted | twitter.com/#!/StackStats/status/158918398473023488 | ||
| Jan 16, 2012 at 14:26 | comment | added | Aniko | Explain more about your data! Are you sure it is interval censored beyond the general level of resolution (eg if all your variables have a yearly resolution, than event times do not really have to be more precise)? Does you usage of "1 year failure probability" implies that you think it is constant over time, i.e. the probability of failing in year 1 is the same as in year 5 (assuming the same category)? | |
| Jan 16, 2012 at 13:52 | history | asked | teucer | CC BY-SA 3.0 |