32 citations · 33 across the 11 of their papers we have counts for
3 papers · 1 filter
Counterfactual Marginalisation: Framework for Evaluating Robustness to Nuisance Variables
Yasin Ibrahim, Hermione Warr, Robin J. Evans +1
Machine learning models can achieve strong test performance while relying on demographic or acquisition-related shortcuts. We propose counterfactual (CF) marginalisation as a test-…
MCAnalysis: An Open-Source Package for Preprocessing, Modelling, and Visualisation of Menstrual Cycle Effects in Digital Health Data
Kyra Delray, Glyn Lewis, Bola Grace +2
The menstrual cycle influences numerous physiological and psychological outcomes, yet standardised, open-source statistical methods for quantifying these cyclic effects remain lack…
Data Fusion with Distributional Equivalence Test-then-pool
Linying Yang, Xing Liu, Robin J. Evans
Randomized controlled trials (RCTs) are the gold standard for causal inference, yet practical constraints often limit the size of the concurrent control arm. Borrowing control data…