7 papers
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…
Frugal, Flexible, Faithful: Causal Data Simulation via Frengression
Linying Yang, Robin J. Evans, Jens Magelund Tarp +1
Machine learning has revitalized causal inference by combining flexible models and principled estimators, yet robust benchmarking and evaluation remain challenging with real-world…
Testing Generalizability in Causal Inference
Daniel de Vassimon Manela, Linying Yang, Robin J. Evans
Ensuring robust model performance in diverse real-world scenarios requires addressing generalizability across domains with covariate shifts. However, no formal procedure exists for…
Exact Simulation of Longitudinal Data from Marginal Structural Models
Xi Lin, Daniel de Vassimon Manela, Chase Mathis +2
Simulating longitudinal data from specified marginal structural models is a crucial but challenging task for evaluating causal inference methods and informing study design. While d…
Outcome-Informed Weighting for Robust ATE Estimation
Linying Yang, Robin J. Evans
Reliable causal effect estimation from observational data requires adjustment for confounding and sufficient overlap in covariate distributions between treatment groups. However, i…