5 citations · 7 across the 2 of their papers we have counts for
2 papers
stat.ME2022★ 5 cited
Depicting deterministic variables within directed acyclic graphs (DAGs): An aid for identifying and interpreting causal effects involving tautological associations, compositional data, and composite variables
Laurie Berrie, Kellyn F. Arnold, Georgia D. Tomova +2
Deterministic variables are variables that are fully explained by one or more parent variables. They commonly arise when a variable has been algebraically constructed from one or m…
stat.AP2019★ 2 cited
Generalised linear models for prognosis and intervention: Theory, practice, and implications for machine learning
Kellyn F. Arnold, Vinny Davies, Marc de Kamps +3
Prediction and causal explanation are fundamentally distinct tasks of data analysis. In health applications, this difference can be understood in terms of the difference between pr…