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Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
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对不寻常的SHELXL权重方案的补救措施

Sean Parkin1

  • 1Department of Chemistry, University of Kentucky, Lexington KY, 40506-0055 USA.

Acta crystallographica. Section E, Crystallographic communications
|October 8, 2025
PubMed
概括

这项研究提供了一种方法,通过调整SADABS中的数据减少设置来改进SHELXL中的权重参数. 这种方法有助于实现最佳的精细化参数,即使在具有挑战性的数据集.

关键词:
I/s(I) 的问题.萨达布斯的默认情况是:谢尔克斯尔电力公司数据减少数据的减少.在WGHT中具有高b值.

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