3 papers
q-bio.OT2025
How causal perspectives can inform neuroscience data analysis
Eric W. Bridgeford, Brian S. Caffo, Maya B. Mathur +1
Over the past two decades, considerable strides have been made in advancing neuroscientific techniques, yet challenges remain in attributing causality to observed associations. Thi…
cs.CY2025
Code Sharing in Healthcare Research: A Practical Guide and Recommendations for Good Practice
Lukas Hughes-Noehrer, Matthew J Parkes, Andrew Stewart +8
As computational analysis becomes increasingly more complex in health research, transparent sharing of analytical code is vital for reproducibility and trust. This practical guide,…
stat.ME2025
Using directed acyclic graphs to determine whether multiple imputation or subsample multiple imputation estimates of an exposure-outcome association are unbiased
Paul Madley-Dowd, Rachael A. Hughes, Maya B. Mathur +2
Missing data is a pervasive problem in epidemiology, with multiple imputation (MI) a commonly used analysis method. MI is valid when data are missing at random (MAR). However, defi…