Tmbcat: a multi-endpoint p-value criterion on different discrepancy metrics for superiorly inferring tumor mutation burden thresholds

HIGHLIGHTS

• who: Yixuan Wang from the Jinan University, China have published the Article: TMBcat: A multi-endpoint p-value criterion on different discrepancy metrics for superiorly inferring tumor mutation burden thresholds, in the Journal: (JOURNAL)
• what: This study proposes a joint statistics model with increased generality in correlation capture, and via a generalized linear mixed model (GLMM) formulation for the efficient estimation of model parameters. The authors propose that the vector of k thresholds Cut k=(TMB 1, u2026 TMB k ) that maximizes the difference in ORR and amp;TTE joint benefit between k+1 subgroups . . .
  

   

  

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