Generated data sets
Pain
Based on the data generation model, the Nonspecific Low Back Pain study design, the DAG shown in Fig. Overview of the different scenarios. In the scenarios with carry-over, the parameters for wash-in All scenarios include covariate effects following the DAG in Fig. In scenario 3, a complex dependence of the Treatment effect on Physical Activity is modeled in the simulation additionally to the covariables shown in Fig. If the edge from a variable In addition to these four scenarios, we further investigate how the methods perform on data sets with missing values by replicating the 4 scenarios with missing values. For this, we use the same parameters and introduce row-wise missing values (i.e., across all variables of an individual) through two mechanisms. The first mechanism deletes 