Table 2.
Robust IPW-weighted generalized regression analyses on PC1 for raw congenital anomaly data.
| Parameter | Estimate (C.I.) | P-Value |
|---|---|---|
| Drugs—additive model | ||
| svyglm(PC1 raw anomalies ~ cigarettes + AUD + mrjmon + Analgesics + cocaine + MHY) | ||
| Cannabis | 1.56 (0.4, 2.72) | 0.0071 |
| Cigarettes | − 14.87 (− 19.87, − 9.87) | 3.83E−06 |
| Drugs—interactive model | ||
| svyglm(PC1 raw anomalies ~ cigarettes * AUD * mrjmon + analgesics + cocaine + MHY) | ||
| AUD | 74.69 (46.65, 102.74) | 1.88E−05 |
| Cigarettes: AUD | − 289.8 (− 428.68, − 150.92) | 3.70E−04 |
| Cannabinoids—additive model | ||
| svyglm(PC1 raw anomalies ~ cigarettes + AUD + THC + CBG + CBC + analgesics + cocaine) | ||
| CBG | 1.42 (0.3, 2.55) | 0.0203 |
| Cigarettes | − 14.85 (− 19.8, − 9.89) | 3.41E−06 |
| Cannabinoids—interactive model | ||
| svyglm(PC1 raw anomalies ~ cigarettes * AUD * THC * CBG * CBC + Analgesics + cocaine) | ||
| Cigarettes: CBG | 4.49 (2.63, 6.36) | 6.70E− 05 |
| Full additive model | ||
| svyglm(PC1 raw anomalies ~ cigarettes + AUD + PC1− Cannabinoids + analgesics + cocaine + income + 6_races) | ||
| AIAN | 10.03 (5.3, 14.75) | 0.0003 |
| PC1-Cannabinoid | 0.65 (0.2, 1.11) | 0.0097 |
| Cigarettes | − 14.12 (− 18.82, − 9.42) | 3.82E−06 |
| Full interactive model | ||
| svyglm(PC1 raw anomalies ~ cigarettes * AUD * PC1-cannabinoids + analgesics + cocaine + income + 6_races) | ||
| Cocaine | 106.67 (24.71, 188.64) | 0.0186 |
| PC1-Cannabinoid | 3.01 (0.47, 5.54) | 0.0303 |
| Cigarettes: AUD | 320.87 (26.47, 615.27) | 0.0446 |
| AUD: PC1-Cannabinoid | − 34.59 (− 66.35, − 2.83) | 0.0447 |
| AUD | − 82.77 (− 148.26, − 17.29) | 0.0218 |
| Asian | − 23.31 (− 40.72, − 5.89) | 0.0159 |
| Cigarettes | − 35.71 (− 50.08, − 21.35) | 8.11E−05 |
Final robust generalized linear regression models for CAR Dataset.