Table 1.
Univariate ARIMA models for birth-outcome-dependent variables in NYC and Madrid, goodness-of-fit statistics and stationary R2 for birth-outcome-dependent variables in NYC and Madrid
| Sites and outcomes | Model (p, d, q) (P, D, Q) | Q statistics | Stationary R2 |
|---|---|---|---|
| NYC | |||
| LBW | (0,1,1) (0,0,0) | Q = 12.2 df = 17 p = 0.786 | 0.25 |
| Preterm birth | (1,0,0) (1,0,1) | Q = 13.9 df = 15 p = 0.534 | 0.08 |
| IMR | (0,1,1) (1,1,1) | Q = 20.1 df = 15 p = 0.170 | 0.65 |
| Madrid | |||
| LBW | (0,1,1) (1,1,0)a | Q = 17.5 df = 16 p = 0.354 | 0.72 |
| Preterm birth | (1,0,0) (1,0,1)a | Q = 16.6 df = 15 p = 0.341 | 0.55 |
| IMR | (0,1,1) (0,1,1) | Q = 9.9 df = 16 p = 0.874 | 0.63 |
aControlled for outliers