Timeline for Survival analysis, repeated measurements, large samples
Current License: CC BY-SA 3.0
7 events
| when toggle format | what | by | license | comment | |
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| Oct 23, 2015 at 15:25 | comment | added | user76943 | It seems frailty models may not be necessary (e.g. I don't require (intra) random effects). An extended Cox model seems more appropriate: stats.stackexchange.com/questions/143340/… | |
| Oct 10, 2015 at 22:41 | comment | added | user76943 | Thank you! This package looks like an excellent start. I also very much like the linked paper so far, esp their treatment of the "readmission" data set | |
| Oct 10, 2015 at 22:29 | comment | added | Cliff AB | I would point you toward the CRAN package frailty pack for software. The following paper will give you a good description of the models used. jstatsoft.org/v47/i04/paper | |
| Oct 10, 2015 at 20:07 | comment | added | user76943 | @Cliff: thank you - could you suggest frailty models and literature related to my question... I'm obviously new to this field and hoping practitioners' advice may be more useful than naive internet searches. | |
| Oct 10, 2015 at 19:48 | comment | added | Cliff AB | I would suggest looking into frailty models. One way of interpreting these models are as survival analysis methods that allow for random intercepts. | |
| Oct 10, 2015 at 19:33 | review | First posts | |||
| Oct 10, 2015 at 19:51 | |||||
| Oct 10, 2015 at 19:33 | history | asked | user76943 | CC BY-SA 3.0 |