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    <identifier>10.57760/sciencedb.xbyxb.00152</identifier>
    <datestamp>2025-12-26T10:54:42Z</datestamp>
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  <dc:date>2025-12-26</dc:date>
  <dc:title>Proportional Hazards Assumption Test and Nonlinear Relationship Analysis of the Multivariable Cox Regression Model</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.xbyxb.00152</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>A: Schoenfeld residual plot for the multivariable Cox proportional hazards regression model to test the proportional hazards (PH) assumption. The plot shows the relationship between residuals of each covariate and time. A smooth curve that is approximately horizontal and residuals that are randomly distributed around zero provide evidence that the PH assumption holds for that variable. B: Restricted cubic spline (RCS) analysis of the multivariable Cox model was used to explore the ​​nonlinear relationship​​ between a continuous covariate and the Llog hazard ratio. The solid line represents the fitted association curve, and the shaded area represents the 95% confidence interval.&amp;nbsp;</dc:description>
  <dc:subject>Cox; PH; RCS</dc:subject>
  <dc:creator>Yuan Lianwen</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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