ahmedhshahin / centime Goto Github PK
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Repository for CenTime: Event-Conditional Modelling of Censoring in Survival Analysis
Could you please upload the data_loaders.py file? Or upload the complete project? Thanks!
I am interested in replicating your approach for imputing missing values for my own research.
On the file custom_transforms.py
we can read these two lines on 300 and 301:
with open("phgen.txt","rb") as f: self.ph = pickle.load(f)
with open("pxghgen.txt","rb") as f: self.pxgh = pickle.load(f)
I presume these values are p(h)
and p(x_i | h)
obtained through Expectation Maximization. I have found no reference on this repository on how to obtain these values. Is there any possibility that you could include this in your code?
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