TABLE 3.
Results of AIC to obtain best model fit when applying different mathematical models to estimate the predictive factors’ relationship with meeting UNAIDS 90–90-90 targets among men aged 15–64, RPHIA 2018–2019.
| Step 1 |
Step 2 |
Step 3 |
||||||
|---|---|---|---|---|---|---|---|---|
| Model input | Wald p value | AIC | Model input | Wald p value | AIC | Model input | Wald p value | AIC |
| Age group | <0.001 | 404.0 | - | - | - | Age + Province + Wealth | 0.007 | 404.3 |
| Marital status (Married) | <0.001 | 417.1 | Age + Married | <0.001 | 404.9 | |||
| Residence | 0.236 | 437.2 | Age + Residence | <0.001 | 403.4 | |||
| Province | 0.302 | 435.3 | Age + Province | <0.001 | 397.7 a | |||
| Education | 0.609 | 439.2 | Age + Education | <0.001 | 403.2 | |||
| Wealth quintile (Wealth) | 0.835 | 443.5 | Age + Wealth | <0.001 | 409.1 | |||
Abbreviations: AIC, Akaike Information Criterion; RPHIA, Rwanda Population-based HIV Impact Assessment.
a
The model in Step 2, having Age and Province, is the model with the best fit.