Target Mean Analysis — Direct Effect

Context

• Target Mean Analysis for calculating Direct Effects is closely related to the Target Mean Analyis — Total Effects.

  • Using the simulated x-values across the range of the variable’s variation domain, Mean Value Analysis infers the corresponding mean values of the Target Node., i.e., the y-values in the plot, while holding constant (or fixed) the distributions of the other variables in the network.
    • For instance, when computing the curve of the $Target Node Pleasure\_(4)$ as a function of $Intensity$, the marginal distributions of the other variables, $Pleasure$, $Corresponds$, $Easy\,to\,wear$, are maintained.
    • The fixing of distributions would not apply if any of the nodes were belonging to the classes
      • $Factor$ or
      • $Non\_Confounder$

• In the following plot, the Direct Effect Curves of all driver variables are displayed at the same time.

• However, please note that all of these curves are calculated individually.