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20242026
most citedA decomposition of Fisher's information to inform sample size for developing fair and precise clinical prediction models -- part 1: binary outcomes

2 citations · 5 across the 7 of their papers we have counts for

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cs.LG2026

Collapsibility of Performance Metrics in Clinical Predictive AI

João Matos, Ben Van Calster, Richard D. Riley +2

Background: Population level assessments of predictive artificial intelligence (AI) can conceal performance disparities across subgroups. Fairness evaluations commonly rely on perf…