Developing clinical prediction models when adhering to minimum sample size recommendations: the importance of quantifying bootstrap variability in tuning parameters and predictive performance
Recent minimum sample size formula (Riley et al.) for developing clinical prediction models help ensure that development datasets are of sufficient size to minimise overfitting. While these criteria are known to avoid excessive overfitting on average, the extent of variability in overfitting at reco...
| 主要な著者: | , , , |
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| フォーマット: | Journal article |
| 言語: | English |
| 出版事項: |
SAGE Publications
2021
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