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ui - inference with non-ignorable missing data, and with unobserved confounders

ui is an R-package which provide uncertainty intervals (i) for regression (linear and probit) parameters when outcome is missing not at random (non-ingorable missingness); (ii) for double robust and outcome regression estimators of average causal effects (on the treated) with possibly unobserved confounding.

Package: ui

References:
Genbäck, M. & de Luna, X. (2016). Causal inference taking into account unobserved confounding. Working paper soon available.

Genbäck, M., Stanghellini, E., & de Luna, X. (2015). Uncertainty intervals for regression parameters with non-ignorable missingness in the outcome. Statistical Papers56(3), 829-847.
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ui.zip
(75k)
Minna Genbäck,
Nov 22, 2017, 2:08 AM
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