Table 5.
Measures of variation (random intercept models) and model fit statistics in childhood MCV1 in Ethiopia, 2016
| Measures of variation | Model 1a | Model 2b | Model 3c | Model 4d |
|---|---|---|---|---|
| Community level | ||||
| Variance (SE) | 2.676 (0.091)* | 0.556 (0.085)* | 1.117 (0.074)* | 0.479 (0.086)* |
| PCV (%) | Reference | 79.2 | 58.3 | 82.1 |
| ICC (%) | 44.9 | 14.5 | 25.3 | 12.7 |
| MORe | 4.73 | 2.03 | 2.73 | 1.93 |
| Model fit statistics | ||||
| DIC (−2log likelihood) | 4462 | 2984 | 4142 | 2953 |
| AIC | 4466 | 3050 | 4170 | 3043 |
SE Standard Error; PCV Proportional Change in Variance, ICC Intraclass Correlation Coefficient, MOR Median Odds Ratio, DIC Deviance Information Criterion, AIC Akaike’s Information Criterion
aModel 1 is an empty model, a baseline model without any explanatory variable
bModel 2 is adjusted for individual-level factors
cModel 3 is adjusted for community-level factors
dModel 4 is final model adjusted for both individual and community-level factors
eIncreased risk (in median) that one would have if moving to a neighborhood/cluster with a higher risk
*P-value < 0.001