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Updated: Jan 8, 2026

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顺序样本大小计算和学习曲线保护了对个体临床预测模型的稳健开发

Amardeep Legha1, Joie Ensor1, Rebecca Whittle1

  • 1Department of Applied Health Sciences, School of Health Sciences, College of Medicine and Health, University of Birmingham, Birmingham, United Kingdom.; National Institute for Health and Care Research (NIHR) Birmingham Biomedical Research Centre, United Kingdom.

Journal of clinical epidemiology
|December 21, 2025
PubMed
概括

临床预测模型 (CPM) 的顺序样本大小计算动态监测性能,根据预测准确性调整招聘. 这种适应性方法通过避免不准确的固定样本大小假设来确保可靠的模型.

关键词:
临床预测模型临床预测模型不稳定 不稳定 不稳定.学习曲线的学习曲线模型开发 模型开发样本大小 样本大小 样本大小顺序式的 顺序式的不确定性 不确定性

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