Timeline for Is there a way to run survival analysis in R when you have more than one death per event?
Current License: CC BY-SA 4.0
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Aug 22 at 11:04 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
Jul 5, 2023 at 15:44 | answer | added | EdM | timeline score: 1 | |
Jul 5, 2023 at 15:26 | answer | added | qh_tan | timeline score: 0 | |
Jul 1, 2023 at 3:36 | comment | added | DWin | Poisson regression might be able to handle that. Why don't you post a sample dataset? Tested code is more likely to be offered when we have an unambiguous example on which we might apply methods. | |
Jun 29, 2023 at 15:06 | comment | added | Plsnobully | @Limey thanks! Any recommendations on how to do that? | |
Jun 29, 2023 at 8:27 | history | migrated | from stackoverflow.com (revisions) | ||
Jun 29, 2023 at 5:26 | comment | added | Limey | You have an aggregated dataset. Expand it into an individual level dataset. Then run a standard survival analysis. For example, if you a record with three deaths, convert this to three records, each with a single death event.. In fact, the way you describe your data, it sounds like you don’t have any censoring events. If so, you don’t really need survival analysis… | |
Jun 29, 2023 at 4:50 | history | asked | Plsnobully | CC BY-SA 4.0 |