Timeline for Survival analysis for survey (case-control?) data
Current License: CC BY-SA 4.0
14 events
| when toggle format | what | by | license | comment | |
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| Aug 12 at 2:25 | vote | accept | processing_statistician | ||
| S Aug 11 at 0:01 | history | bounty ended | CommunityBot | ||
| S Aug 11 at 0:01 | history | notice removed | CommunityBot | ||
| Aug 4 at 17:41 | answer | added | EdM | timeline score: 3 | |
| Aug 4 at 13:40 | answer | added | Ggjj11 | timeline score: 1 | |
| Aug 4 at 12:32 | answer | added | Sextus Empiricus | timeline score: 4 | |
| Aug 4 at 9:46 | comment | added | EdM | Thanks. Please also add how many events of each type are in the data set. Any disease with less than 100 to 150 events will pose problems if you try to fit a model with 10 predictors. | |
| Aug 4 at 4:28 | comment | added | processing_statistician | I have edited the questions. Please inform me if further editing is needed. | |
| Aug 4 at 4:26 | history | edited | processing_statistician | CC BY-SA 4.0 |
added 302 characters in body
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| Aug 3 at 14:04 | comment | added | EdM |
Please edit the question to clarify the Cox model(s) that you intend to use. You say that disease is the outcome, but how are you handling the "various diseases"? Separate models for each disease, time to first disease, multi-state model, ...? What is the time reference (time = 0) for the survival analysis? Date of birth, date of entry into study, some calendar date, ...? What/how many predictors are you intending to use? How many events (development of disease) are there? That's much more important than the number of cases.
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| S Aug 2 at 22:51 | history | bounty started | processing_statistician | ||
| S Aug 2 at 22:51 | history | notice added | processing_statistician | Authoritative reference needed | |
| Jul 31 at 20:01 | history | edited | Roger V. | CC BY-SA 4.0 |
edited title
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| Jul 31 at 19:36 | history | asked | processing_statistician | CC BY-SA 4.0 |