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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.
Package: ui
References:
Genbäck, M, de Luna, X. (2019) Causal inference accounting for unobserved confounding after outcome regression and doubly robust estimation. Biometrics; 75: 506– 515. doi:10.1111/biom.13001
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.
Example of applied work using the package:
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.
Lestari, SK, de Luna, X, Eriksson, M, Malmberg, G, and Ng, N (2021) A longitudinal study on social support, social participation, and older Europeans’ Quality of life, SSM - Population Health, 13,100747, DOI: 10.1016/j.ssmph.2021.100747.
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