Clinical prediction models aim to predict outcomes in individuals, to inform diagnosis or prognosis in healthcare. Hundreds of prediction models are published in the medical literature each year, yet many are developed using a dataset that is too small for the total number of participants or outcome events. This leads to inaccurate predictions and consequently incorrect healthcare decisions for some individuals. In this article, the authors provide guidance on how to calculate the sample size required to develop a clinical prediction model. #### Summary points Clinical prediction models are needed to …

中文翻译：

---

计算开发临床预测模型所需的样本量


临床预测模型旨在预测个体的结果，为医疗保健的诊断或预后提供信息。每年医学文献中都会发表数百个预测模型，但许多预测模型是使用对于参与者或结果事件总数而言太小的数据集开发的。这会导致不准确的预测，从而导致某些人做出不正确的医疗保健决策。在本文中，作者提供了有关如何计算开发临床预测模型所需的样本量的指导。 #### 总结要点 需要临床预测模型......