Erik Sverdrup

Hi @mnose, one suggested way to assess the CSF estimates would be to use the [TOC/RATE](https://grf-labs.github.io/grf/articles/rate.html) as mentioned at the end of the CSF [docstring example](https://grf-labs.github.io/grf/reference/causal_survival_forest.html#examples). debiased.error predictions are currently...

Hi @corydeburd, If your binary T_1, ..., T_5 were mutually exclusive, then you could use multi_arm_causal_forest to estimate contrasts of the form {E[Y(2) - Y(1) | X], E[(Y(3) - Y(1)...

Hi @marclet, yes, a continuous W implies regression_forest estimates a generalized propensity score. If you know what the generalized propensity score is, then sure, you can supply it, though I...

Hi @AleksandrZhuravlev98, > Based on my experimentations with the instrumental_forest() function, the argument Z accepts only a vector, meaning that it can be used only with a single instrument. I...

Hi @FedericaPetru, 1) the function `average_treatment_effect(forest)` will give you a warning if overlap seems to be an issue. 2) The output gives you a standard error you could use to...

The way I read that algorithm is that they use CF purely as an exploratory tool to see if there is treatment effect heterogeneity along “some” observable covariates. If there...

Hi @Einspanner8888, You can interpret the BLP as just another linear regression, but that under the hood uses a more involved construction for the LHS. Thus doing your favorite stepwise...

Hi @fresskylin, not currently, it would depend on exactly how you are using lm_forest. In the future we could consider making a tutorial that covers some estimands you could target...

Hi @robert702 , there’s nothing wrong with causal forests and skewed data per se. In some settings, there could be a general identification issue though, for example, if an outcome...

Hi @RamirezAmayaS, what you are observing is unfortunately a known artifact of doing these kinds of evaluations using Out-of-Bag (OOB) estimates. The suggested modern approach is to use the [RATE](https://grf-labs.github.io/grf/articles/rate.html)...