Timeline for Using random forest for survival analysis with time varying covariates
Current License: CC BY-SA 3.0
3 events
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| Jun 6, 2015 at 15:49 | comment | added | user78229 | I have questions about the basic validity of what you've described. A "survival" model where none of the observations are censored is a misnomer. In the absence of censoring, your data structure defaults to a standard regression, regardless of the functional form or the fact that duration varies. Then there's the issue of using random forests which does assume iid data. Why RFs? Why not use a multi-level model as outlined in Singer and Willet's Applied Longitudinal Data Analysis? S&W have a chapter on "survival" model approaches to multilevel data. | |
| Nov 14, 2014 at 16:26 | review | First posts | |||
| Nov 14, 2014 at 16:30 | |||||
| Nov 14, 2014 at 13:50 | history | answered | Gullydwarf | CC BY-SA 3.0 |