2 papers
stat.ME2025
Empirically assessing the plausibility of unconfoundedness in observational studies
Fernando Pires Hartwig, Kate Tilling, George Davey Smith
The possibility of unmeasured confounding is one of the main limitations for causal inference from observational studies. There are different methods for (partially) empirically as…
stat.ME2025
D-separation for applied researchers: understanding how to interpret directed acyclic graphs
Fernando Pires Hartwig, Timothy Feeney, Neil Davies
The assumed causal relationships depicted in a DAG are interpreted using a set of rules called D-separation rules. Although these rules can be implemented automatically using stand…