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在开发二元结果预测模型的研究中,没有考虑样本大小要求:系统性审查
Paula Dhiman1, Jie Ma2, Cathy Qi3
1Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, OX3 7LD, UK. paula.dhiman@csm.ox.ac.uk.
大多数临床预测模型缺乏适当的样本大小计算,导致数据不足以准确估计风险. 研究人员必须证明,执行和报告样本大小计算,以获得可靠的模型开发.
科学领域:
- 临床预测建模临床预测建模
- 生物统计学 生物统计学
- 健康研究方法的方法论.
背景情况:
- 适当的样本大小对于开发可靠的临床预测模型至关重要.
- 本研究审查了预测二进制结果的模型中的样本大小考虑因素.
结论:
- 临床预测模型经常在没有充分的样本大小计算的情况下开发,从而损害了风险估计的准确性.
- 敦促研究人员证明,执行和报告样本大小计算,以便开发可靠的预测模型.
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