Table 5.
Comparison of the current study and previous approaches to modeling infiltration and indoor PM2.5 concentrations.
| Current study | Allen et al.37 | Baster et al.27 | Wallace and Williams6 | |
|---|---|---|---|---|
| Study area | 102 homes | 353 homes | 39 homes | 37 homes |
| Boston | 7 cities across US | Boston | North Carolina | |
| Infiltration proxy | Sulfur | Sulfur | GIS and housing characters | Sulfur |
| Model technique | Mixed-effects model | Multivariable regression | Bayesian model | Multivariable regression |
| Predictive power infiltration proxy | CV R2 =89.3% | CV R2 =30–60% | — | — |
| Predictive power on PM2.5 | CV R2 =79.1% | — | CV R2 =0.37 | R2 =0.74 |
Abbreviation: CV, cross-validation.