Uncertainty Intervals and Sensitivity Analysis for Missing Data
Description
Implements functions to derive uncertainty intervals for (i) regression (linear and probit) parameters when outcome is missing not at random (non-ignorable missingness) introduced in Genbaeck, M., Stanghellini, E., de Luna, X. (2015) and Genbaeck, M., Ng, N., Stanghellini, E., de Luna, X. (2018) ; and (ii) double robust and outcome regression estimators of average causal effects (on the treated) with possibly unobserved confounding introduced in Genbaeck, M., de Luna, X. (2018) .