most citedCritical Appraisal of Fairness Metrics in Clinical Predictive AI

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A decomposition of Fisher's information to inform sample size for developing fair and precise clinical prediction models -- Part 2: time-to-event outcomes

Richard D Riley, Gary S Collins, Lucinda Archer +9

Background: When developing a clinical prediction model using time-to-event data, previous research focuses on the sample size to minimise overfitting and precisely estimate the ov…