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Is it suitable for survival data? #157
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No the package is not directly applicable to survival analysis, the main focus is imputation of missing values. |
Thank you! What I mean is missing values in survival data (time-to-event). |
If you can cast the problem as a standard supervised learning problem where some of the time-to-event data are the missing values and you have observed some time-to-event data, then it could make sense to use datawig (or any other supervised learning / auto-ml package). But if you would like to do a survival analysis, where you fit a parametric distribution and then interpret the parameters, then other libraries would be better. |
Thank you ! |
Dear Sir or Madam,
May I know if the package can be used for survival data with survival time and event?
Thank you!
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