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Propensity Score plots (regression analysis), lm(treat=accessibility + forestcover + ….) -> predict + plots -> table with coefficients.
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Do Why model estimation runs for a really long time while displaying warning messages such as below. I know other solvers like liblinear will have a quicker solution. How do I pass these parameters th…
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Hello,
since it is not completely obvious, how to conduct a Sensitivity Analysis following a Propensity Score Matching with MatchIt, I would like to ask for an opinion on [this approach by Matt Bogar…
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Is it possible to do bipartite matching, or sampling without replacement? I know this handles multiple matches using weights, but is it possible to have a 1:1 match only? Would setting method='min' an…
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Hello,
I have installed the MIMIC-IV 1.0 dataset on my local machine and have followed the instructions in mimic-code repository to create all the tables and load data.
After that I completed th…
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PCORnet captures Provider and Provider IDs in the data set. ACT does not. Discussion in the mapping validation meetings ponder the utility of this field in the N3C data set if there is systematically…
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(another idea for diagnostic checks that should work in a relatively general way)
split observations into subgroups or strata by a predicted value, e.g. linear prediction in GLM or parametric survi…
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When I run the following code I get an error and I don't think it should throw error
```
cm = CausalModel(
Y=base_df["deletion_flag"].values,
D=base_df["intervention_flag"].values,
…
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Hi,
how can I set the seed for _estimate effect_ methods? Even when setting an environment seed with NumPy my results keep changing slightly when running the same code at different times. This is r…
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Hello - Not one to rush into - I'll test over next couple of weeks, but as an update I've rewritten a few of the glm functions to be able to handle weights and potentially new families in models (so t…