Raw scores beat demographically corrected scores when a stated co-monotonicity condition links demographics to both score and impairment risk; the result is proved and illustrated on OASIS-3.
An introduction to roc analysis.Pattern recognition letters, 27(8):861–874
3 Pith papers cite this work. Polarity classification is still indexing.
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Acceleration-based clustering of 20,000+ strides from a 10-dog sled team reveals frequent, individually variable gait switching that is not explained by local tugline-force fluctuations.
TipPFN uses prior-data fitted networks and in-context learning on synthetic bifurcation data to detect proximity to critical transitions in unseen dynamical systems and real observations.
citing papers explorer
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On the choice of using raw or demographically-corrected scores
Raw scores beat demographically corrected scores when a stated co-monotonicity condition links demographics to both score and impairment risk; the result is proved and illustrated on OASIS-3.
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Acceleration-based clustering reveals frequent gait switching in sprint sled dogs
Acceleration-based clustering of 20,000+ strides from a 10-dog sled team reveals frequent, individually variable gait switching that is not explained by local tugline-force fluctuations.
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In-context learning to predict critical transitions in dynamical systems
TipPFN uses prior-data fitted networks and in-context learning on synthetic bifurcation data to detect proximity to critical transitions in unseen dynamical systems and real observations.