ui is an R-package which provide confidence intervals (sampling variation) and uncertainty intervals (sampling variation+uncertainty due to non-ignorability assumptions) for (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.
Keywords: Double Robust estimator, Regression Imputation estimator, Average Causal effect, Estimation with missing outcome data, Estimation with non-ignorable dropout.
Genbäck, M. & de Luna, X. (2017). Causal inference taking into account unobserved confounding. Working paper soon available. arXiv:1712.00292 To appear in Biometrics
Genbäck, M. & de Luna, X. (2018). Predictors of decline in self-reported health: addressing non-ignorable dropout in longitudinal studies of ageing. European Journal of Ageing, 15(2), 211-220.
Genbäck, M., Stanghellini, E., & de Luna, X. (2015). Uncertainty intervals for regression parameters with non-ignorable missingness in the outcome. Statistical Papers, 56(3), 829-847.