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缺失数据在估计BMI轨迹中的重要性

Laura A Gray1,2

  • 1Division of Population Health, School of Medicine and Population Health, University of Sheffield, Sheffield, S10 2TN, UK. laura.gray@sheffield.ac.uk.

Scientific reports
|July 31, 2024
PubMed
概括

缺少的数据显著影响身体质量指数 (BMI) 轨迹分析. 考虑到缺失的数据会改变估计的BMI轨迹,并降低2型糖尿病 (T2DM) 的预测风险.

关键词:
这就是为什么BMI是BMI.增长混合模型的增长混合模型.纵向分析是一种纵向分析.缺少的数据数据.

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