430 citations · 510 across the 8 of their papers we have counts for
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stat.ME2021★ 2 cited
Deconfounding Scores: Feature Representations for Causal Effect Estimation with Weak Overlap
Alexander D'Amour, Alexander Franks
A key condition for obtaining reliable estimates of the causal effect of a treatment is overlap (a.k.a. positivity): the distributions of the features used to perform causal adjust…
stat.ME2019
Comment: Reflections on the Deconfounder
Alexander D'Amour
The aim of this comment (set to appear in a formal discussion in JASA) is to draw out some conclusions from an extended back-and-forth I have had with Wang and Blei regarding the d…
stat.ME2018
Flexible sensitivity analysis for observational studies without observable implications
Alexander Franks, Alexander D'Amour, Avi Feller
A fundamental challenge in observational causal inference is that assumptions about unconfoundedness are not testable from data. Assessing sensitivity to such assumptions is theref…