2 citations · 4 across the 7 of their papers we have counts for
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stat.ME2021
Multiple imputation and test-wise deletion for causal discovery with incomplete cohort data
Janine Witte, Ronja Foraita, Vanessa Didelez
Causal discovery algorithms estimate causal graphs from observational data. This can provide a valuable complement to analyses focussing on the causal relation between individual t…
stat.AP2021★ 2 cited
A practical guide to causal discovery with cohort data
Ryan M. Andrews, Ronja Foraita, Vanessa Didelez +1
In this guide, we present how to perform constraint-based causal discovery using three popular software packages: pcalg (with add-ons tpc and micd), bnlearn, and TETRAD. We focus o…