Data model
In the simulation model, we combine data generation based on stochastic processes, time-varying and covariate-dependent treatment effects, and effects onto the outcome variable embedded in a causal graph. For the notation in the following, let First, we embed the outcome variable We include linear effects from variables To simulate binary variables, we define a threshold Time dependencies can be added to the data simulation by letting the variable The treatment variables After drawing the exogenous variables from pre-specified distributions, the endogenous variables are generated based on assumed weights To simulate the outcome 