Table 4.
Summarizes the average marginal effects for EQ-VAS derived disability weights and EQ-5D derived disability weights by different covariates after linear regression and marginal analysis
| Delta-method | |||
|---|---|---|---|
| dy/dx | 95% Confidence Intervals | p value | |
| Model 1—EQ-VAS derived disability weights | |||
| Acute upper gastrointestinal bleeding | 0.30 | 0.23, 0.37 | 0.001 |
| Praziquantel | 0.15 | 0.07, 0.22 | 0.001 |
| Age range by decade | 0.05 | 0.02, 0.07 | 0.001 |
| Body Mass Index ≤ 18.5 | 0.05 | − 0.05, 0.14 | 0.326 |
| Female gender | 0.07 | 0.00002, 0.13 | 0.050 |
| Jaundice | − 0.12 | − 0.20, − 0.04 | 0.004 |
| Model 2—EQ-5D derived disability weights | |||
| Body mass index ≤ 18.5 | 0.19 | 0.05, 0.33 | 0.009 |
| Acute upper gastrointestinal bleeding | 0.10 | 0.02, 0.18 | 0.018 |
| Ascites | 0.19 | 0.05, 0.32 | 0.010 |
| Age range by decade | 0.03 | 0.003, 0.06 | 0.031 |
| Female gender | 0.10 | 0.03, 0.18 | 0.006 |
| Praziquantel | 0.12 | 0.04, 0.20 | 0.003 |
| Farmers | 0.07 | − 0.005, 0.14 | 0.069 |
| World Health Organization Anemia grade | − 0.007 | − 0.04, 0.03 | 0.690 |
Marginal analysis enables examination of the impact of variable x (covariates) on outcome y (disability weights) for representative cases