Jelle J. Goeman

The paper introduces a penalized reduced rank regression model for multi-outcome survival data, finding a common metabolic risk score associated with age-related diseases using UK Biobank data.

The paper introduces the AccelerAge framework, a statistical method for predicting biological age using time-to-event data, and evaluates it against existing predictors.

This paper examines the assumptions of cross-sectional biological age predictors and shows that a key assumption is untestable and can lead to unreliable results.

The paper shows that different analysis workflows by 70 teams on the same fMRI dataset led to varied results, but meta-analysis found consensus in activated regions.

This study shows that iron-sensitive MRI can detect AD pathology distribution patterns in post-mortem brain tissue, with EOAD showing more severe MRI changes.

The paper introduces All-Resolutions Inference (ARI) to address the spatial specificity paradox in neuroimaging by quantifying activation proportions within detected clusters and enabling sub-regional analysis.