nhejazi / biotmle

:package: :microscope: R/biotmle: Targeted Learning with Moderated Statistics for Biomarker Discovery
https://code.nimahejazi.org/biotmle/
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Testing IC estimates #17

Closed nhejazi closed 7 years ago

nhejazi commented 7 years ago
nhejazi commented 7 years ago

119de84 implements a change from limmatmle to the new function modtest_ic, which now accepts as input a design vector corresponding to the treatment/exposure of interest.

Remaining questions include:

nhejazi commented 7 years ago

Currently, the target causal parameter is similar to the ATE -- that is, it takes the form $\Psi = E[E[Y \mid A = max(A), W] - E[Y \mid A = min(A), W]]$, for some vector A with categorical entries.

nhejazi commented 7 years ago

This should be restricted to a design vector that corresponds to an intercept term, as the group-level difference is captured in the influence curve representation of the ATE, reducing the required (moderated) t-test to that required for a 1-sample problem.

nhejazi commented 7 years ago

fixed in 3e7dc3b