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CV-TMLE #21

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benkeser opened this issue Aug 2, 2017 · 1 comment
Open

CV-TMLE #21

benkeser opened this issue Aug 2, 2017 · 1 comment
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@benkeser
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benkeser commented Aug 2, 2017

Another nice extension that would be straightforward would be adding CV-TMLE to the package. I've been working on the drtmle package, which implements TMLE estimators with doubly-robust inference. I set up the structure of that package very similarly to survtmle with calls to estimate functions and fluctuate functions. I found that adding wrappers around the estimate functions to cross-validate initial estimates involved only some pretty straightforward bookkeeping. In other words, I think it will be straightforward to implement in survtmle as well. Studying practical performance of CV-TMLE vs. standard TMLE in competing risk setting would be of interest (i.e., could be a short paper).

@nhejazi nhejazi self-assigned this Aug 26, 2017
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nhejazi commented Aug 26, 2017

Implementation should be rather straightforward. It may perhaps be worth using origami when creating options for parallelization (rather than foreach), allowing access to futures.

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