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Is it suitable for survival data? #157

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bbb801 opened this issue Feb 18, 2022 · 4 comments
Open

Is it suitable for survival data? #157

bbb801 opened this issue Feb 18, 2022 · 4 comments

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@bbb801
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bbb801 commented Feb 18, 2022

Dear Sir or Madam,

May I know if the package can be used for survival data with survival time and event?

Thank you!

@felixbiessmann
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No the package is not directly applicable to survival analysis, the main focus is imputation of missing values.

@bbb801
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bbb801 commented Feb 18, 2022

Thank you! What I mean is missing values in survival data (time-to-event).

@felixbiessmann
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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.

@bbb801
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bbb801 commented Feb 18, 2022

Thank you !

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