首页> 外文期刊>Clinical biomechanics >Variation inflation factor-based regression modeling of anthropometric measures and temporal-spatial performance: Modeling approach and implications for clinical utility
【24h】

Variation inflation factor-based regression modeling of anthropometric measures and temporal-spatial performance: Modeling approach and implications for clinical utility

机译:基于变化的通胀因子的人体测量措施回归建模和时间空间性能:临床效用的建模方法和影响

获取原文
获取原文并翻译 | 示例
           

摘要

Background Understanding the relationship of underlying anthropometry to temporal-spatial performance is critical to appropriate assessment of patients with ambulatory dysfunction. The current body of literature has established the importance of limb length in this relationship. This study sought to re-examine these relationships in light of recent trends in body habitus and obesity, using Variation Inflation Factor analysis to optimize the model.
机译:背景技术了解潜在的人体测量术与时间空间性能的关系对于适当评估动态功能障碍的患者至关重要。 目前的文献体已经建立了这种关系中肢体长度的重要性。 这项研究试图根据身体栖息地和肥胖的最近趋势重新审视这些关系,利用变化通胀因子分析来优化模型。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号