Table 4.
Follow-up assessment by type of patient.
| Type of patient | Dependent variable: Follow-up status | |||||
|---|---|---|---|---|---|---|
| Estimate | SE | p-value | 95% CI | Adjusted 95% CI | ||
| New patient | (1) Excluding control variables (n = 405) | 0.177 | 0.07 | 0.009 | (0.044, 0.309) | (0.036, 0.318) |
| (2) Including control variables (n = 400) | 0.148 | 0.07 | 0.035 | (0.011, 0.285) | (0.007, 0.289) | |
| Existing patient | (1) Excluding control variables (n = 405) | 0.017 | 0.06 | 0.784 | (–0.104, 0.138) | (–0.106, 0.138) |
| (2) Including control variables (n = 400) | −0.015 | 0.06 | 0.798 | (–0.135, 0.104) | (–0.136, 0.106) | |
CI: confidence interval.
Estimates are obtained from the linear probability model where patient type dummy is interacted with treatment status dummy. Adjusted 95% CI refer to design effects adjusted confidence intervals. The table presents the results of two different regression specifications: (1) without control variables and (2) with the addition of control variables.