Our results show that the spatially allocated carbon values differ between the three study areas with highest values in PESA, followed by PETR and PNCV.
Random Forest model performances varied between the three study areas with RMSE values of 1.64 t/ha (mean relative RMSE 30%), 2.35 t/ha (46%) and 2.18 t/ha (45%).
Even though the allometric model that we employed is representative for the most abundant plant families within the selected study areas (Vochysiaceae and Fabaceaea), we found differences between the three study areas in species composition and abundance.
Carbon model performances differed between the three study areas with averaged R2 values of 0.69 for PESA, 0.43 for PETR and 0.36 for PNCV and a similar trend in RMSE values of 1.65 t/ha (relative RMSE 0.30) in PESA, 2.18 t/ha (relative RMSE 0.45) in PETR and 2.35 t/ha (relative RMSE 0.46) in PNCV (Table 2).
No statistical difference was found between the three study groups in terms of age; the mean age of the acetaminophen group was 21.7 ± 3.5 and a mean age of 22.1 ± 3.2 and 21.2 ± 3.8 were recorded for the ibuprofen and the meloxicam groups, respectively.
Primary outcomes between the three study arms did not differ.
Baseline differences were present between the three study groups.
Against our initial hypothesis, we found no differences in SERT binding between the three study groups.
There were no significant differences between the three study groups in these demographic variables (Table 1).
No significant differences in echocardiographic data were observed between the three study days.
All of these variables showed statistically significant differences between the three study countries (Table 2).
