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Kuan-Liu-Lab / causens

An R package for causal sensitivity analysis methods
https://kuan-liu-lab.github.io/causens/
MIT License
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Binary outcome for the first version of the sensitivity analysis #9

Closed Kuan-Liu closed 5 months ago

Kuan-Liu commented 1 year ago

Binary outcome has better statistical property, the senstivity function derived using binary outcome is bounded by -1 and 1:

$$ \text{sens} = E(Y^a \mid A=1, X) - E(Y^a \mid A=0, X) .$$

The bounds allow us to custermize prior for the bias parameters for the Bayesian approach and the specification of the sensitivity function of the frequentist Li's approach.

larryshamalama commented 1 year ago

Okay sounds good

larryshamalama commented 12 months ago

I looked into continuous outcomes, this issue addressed specifically binary outcome variables