33 citations · 97 across the 11 of their papers we have counts for
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stat.ME2017★ 20 cited
Causal inference taking into account unobserved confounding
Minna Genbäck, Xavier de Luna
Causal inference with observational data can be performed under an assumption of no unobserved confounders (unconfoundedness assumption). There is, however, seldom clear subject-ma…
math.ST2017★ 33 cited
Sensitivity analysis for unobserved confounding of direct and indirect effects using uncertainty intervals
Anita Lindmark, Xavier de Luna, Marie Eriksson
To estimate direct and indirect effects of an exposure on an outcome from observed data strong assumptions about unconfoundedness are required. Since these assumptions cannot be te…
math.ST2017★ 6 cited
Inference for partial correlation when data are missing not at random
Tetiana Gorbach, Xavier de Luna
We introduce uncertainty regions to perform inference on partial correlations when data are missing not at random. These uncertainty regions are shown to have a desired asymptotic…