sigmaOLScor0

Residual sd from outcome regression.

sigmaOLS

Number of covariates outcome regression.

Fitted values from propensity score regression.

gridrho

This function is a bias correction of the residual standard deviation under MNAR, for <code><a rd-options="" href="/link/ui.causal?package=ui&version=0.1.1" data-mini-rdoc="ui::ui.causal">ui.causal</a></code>.

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) <doi:10.1007/s00362-014-0610-x> and Genbaeck, M., Ng, N., Stanghellini, E., de Luna, X. (2018) <doi:10.1007/s10433-017-0448-x>; 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) <doi:10.1111/biom.13001>.

Minna Genbaeck

Uncertainty Intervals and Sensitivity Analysis for Missing Data

sigmaOLScor0 function

This function is a bias correction of the residual standard deviation under MNAR, for <code><a rd-options='' href='ui.causal'>ui.causal</a></code>.

sigmaOLScor0: Correction of OLS sigma for causal effects

Description

Usage

Arguments