Table 2 Confounding variables for the different applied treatments
From: Investigating causality in human behavior from smartphone sensor data: a quasi-experimental approach
Treatment | Confounding variables | |||||||
|---|---|---|---|---|---|---|---|---|
\(U^{u, d}_{t_{i}}\) | \(\mathit{PS}^{u, d}\) | \(D^{u, d}\) | \(O^{u, d}_{t_{i}}\) | \(E^{u, d}_{t_{i}}\) | \(\mathit{SC}^{u, d}_{t_{i}}\) | \(E^{u}\) | \(N^{u}\) | \(C^{u}\) |
\(O^{u, d}_{t_{i}}\) | \(\mathit{PS}^{u, d}\) | \(D^{u, d}\) | \(U^{u, d}_{t_{i}}\) | \(E^{u, d}_{t_{i}}\) | \(E^{u}\) | \(N^{u}\) | \(A^{u}\) | - |
\(\mathit{SC}^{u, d}_{t_{i}}\) | \(\mathit{PS}^{u, d}\) | \(D^{u, d}\) | \(U^{u, d}_{t_{i}}\) | \(O^{u, d}_{t_{i}}\) | \(E^{u}\) | \(N^{u}\) | \(A^{u}\) | - |
\(E^{u, d}_{t_{i}}\) | \(D^{u, d}\) | \(U^{u, d}\) | \(E^{u}\) | \(N^{u}\) | \(A^{u}\) | - | - | - |