11 citations · 15 across the 6 of their papers we have counts for
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stat.ME2024★ 2 cited
A decomposition of Fisher's information to inform sample size for developing fair and precise clinical prediction models -- part 1: binary outcomes
Richard D Riley, Gary S Collins, Rebecca Whittle +11
When developing a clinical prediction model, the sample size of the development dataset is a key consideration. Small sample sizes lead to greater concerns of overfitting, instabil…
stat.ME2024★ 1 cited
Extended sample size calculations for evaluation of prediction models using a threshold for classification
Rebecca Whittle, Joie Ensor, Lucinda Archer +10
When evaluating the performance of a model for individualised risk prediction, the sample size needs to be large enough to precisely estimate the performance measures of interest.…