You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I am working with a dataset that has a lot of missing values. Because of this, I am implementing multiple imputation, by which I get M different complete datasets. After this, I train M different CoxPHFitter()'s, which I wish to pool into one model. To do this, I extract all the parameters from the models and combine them using Rubins rules. However, once I obtain the pooled coefficients, I can't find a way to place them back into the model. Simply setting the params_ of the model effectively does nothing. Is it even possible to do so?
The text was updated successfully, but these errors were encountered:
I am working with a dataset that has a lot of missing values. Because of this, I am implementing multiple imputation, by which I get M different complete datasets. After this, I train M different
CoxPHFitter()
's, which I wish to pool into one model. To do this, I extract all the parameters from the models and combine them using Rubins rules. However, once I obtain the pooled coefficients, I can't find a way to place them back into the model. Simply setting theparams_
of the model effectively does nothing. Is it even possible to do so?The text was updated successfully, but these errors were encountered: