Table 1.
Population Size Estimates of the diagnosed PLWH population under Alameda County, CA, public health jurisdiction from the best fitting Identifiable Models, 2013
| Model | 95% CI | AIC | df* | |
|---|---|---|---|---|
| Base | 5,943 | 5,867 – 6,023 | 974.5 | 10 |
| Base + L1*L3 | 5,891 | 5,820 – 5,965 | 715.1 | 9 |
| Base + L1*L3 + L2*L3 | 5,846 | 5,780 – 5,915 | 485.8 | 8 |
| Base + L1*L3 + L2*L3 + L3*L4 | 5,684 | 5,625 – 5,747 | 417.7 | 7 |
| Base + L1*L3 + L1*L4 + L2*L3 + L2*L4 | 6,198 | 6,069 – 6,338 | 391.2 | 6 |
| Base + L1*L3 + L1*L4 + L2*L3 + L2*L4 + L3*L4 | 7,543 | 6,270 – 11,026 | 387.4 | 5 |
| Base + L1*L3 + L1*L4 + L3*L4 + L1*L3*L4 + L2*L3 + L2*L4 | 10,234 | 6,739 – 30,225 | 382.75 | 4 |
| Base + L1*L3 + L1*L4 + L3*L4 + L1*L3*L4 + L2*L3 + L2*L4 + L3*L4 + L2*L3*L4 | 1.113e10 | 8,062 – 3.339e10 | 379.9 | 3 |
*
Degrees of freedom remaining. Selected models are the best-fitting model (lowest AIC) within strata of models with equivalent degrees of freedom remaining (e.g., among the log-linear models with nine degrees of freedom remaining, models where only one interaction term is included along with the Base parameters, the model with the L1*L3 interaction had the lowest AIC).
Base= main terms corresponding to each individual list (not including list interactions); L1= List 1; L2= List 2; L3= List 3; L4= List 4
= estimated population size