Table 1.
Simulation results using SMAHP (penalizations + SIS), SIS + SIS, and naïve approaches. The data were simulated with censoring rate of 25%.
Table 2.
Simulation results using SMAHP (penalizations + SIS), SIS + SIS, and naïve approaches. The data were simulated with censoring rate of 50%.
Table 3.
Simulation results using SMAHP (penalizations + SIS), SIS + SIS, and naïve approaches. The data were simulated with censoring rate of 75%.
Fig 1.
A directed acyclic graph summarizing the analysis of CPTAC HNSCC data, highlighting direct and indirect effects with 95% confidence intervals in parentheses using SMAHP.
Fig 2.
A causal diagram to describe the framework of the mediation analysis of high-dimensional mediators with multivariable exposures and survival endpoint.
Here, the two types of effects are assessed: (1) the global indirect effect between
and T, and specific mediation effect that is mediated by a mediator variable
for each
proteome that is selected from the penalized variable selection (nodes colored in blue) and (2) the direct effect
between multivariable exposures
RNA-Seq gene expressions (nodes colored in orange) and survival outcome T (a node colored in red).