Table 8 Ovarian Cancer – Lagged Space-Time Regression
Lagged Variables | Parameter | Model | ||||
|---|---|---|---|---|---|---|
Parameter | Estimate (C.I.) | P | Coefficient | Value | P-Value | |
LAGGING WITH CANNABIS | ||||||
Temporal Lagging | ||||||
Comprehensive Interactive Model - 2 Temporal Lags | ||||||
spreml(Cancer Rate ~ Age + Cigarettes * AUD * Cannabis + Analgesics + Cocaine + Income + Five Races) | ||||||
Cigarettes, 2 | Caucasian | −0.78 (− 1.49, − 0.07) | 0.0306 | S.D. | 0.6405 | |
AUD, 2 | AIAN | −5.31 (− 8.92, − 1.71) | 0.0039 | Log.Lik | − 569.0211 | |
Cannabis, 2 | African | −0.18 (− 0.29, − 0.08) | 0.0006 | phi | 0.8173 | 8.97e-05 |
Analgesics, 2 | Income | −0.92 (−1.32, − 0.53) | 4.50e-06 | rho | − 0.6447 | 7.27e-16 |
Cocaine, 2 | Cannabis | −0.5 (− 0.69, − 0.31) | 2.71e-07 | lambda | 0.6346 | < 2.2e-16 |
Comprehensive Interactive Model - 4 Temporal Lags | S.D. | 0.5950 | ||||
spreml(Cancer Rate ~ Age + Cigarettes * AUD * Cannabis + Analgesics + Cocaine + Income + Five Races) | Log.Lik | − 473.9722 | ||||
Cigarettes, 4 | Cocaine | 13.5 (5.36, 21.65) | 0.0012 | phi | 0.5570 | 0.0002 |
AUD, 4 | Cigarettes | 2.34 (0.29, 4.4) | 0.0257 | rho | −0.5503 | 8.03e-08 |
Cannabis, 4 | Cannabis | −0.37 (− 0.57, − 0.17) | 0.0003 | lambda | 0.6351 | < 2.2e-16 |
Analgesics, 4 | ||||||
Cocaine, 4 | ||||||
Spatial Lagging | ||||||
Comprehensive Interactive Model - 1 Spatial Lag | ||||||
spreml(Cancer Rate ~ Age + Cigarettes * AUD * Cannabis + Analgesics + Cocaine + Income + Five Races) | ||||||
Cannabis, 1 | Cigarettes: Cannabis: AUD: | 2.87 (1.57, 4.17) | 1.44e-05 | S.D. | 0.6618 | |
AIAN | −3.74 (−7.14, −0.33) | 0.0313 | Log.Lik | −674.5209 | ||
Cannabis | −0.45 (− 0.82, − 0.08) | 0.0183 | phi | 0.8060 | 3.02e-05 | |
Age | −0.06 (− 0.11, − 0.02) | 0.0042 | rho | −0.6641 | < 2.2e-16 | |
Cannabis | −0.16 (− 0.26, − 0.06) | 0.0017 | lambda | 0.6062 | < 2.2e-16 | |
Income | −0.7 (−1.11, − 0.29) | 0.0008 | ||||
Spatiotemporal Lagging | ||||||
Spatial Lags: | Comprehensive Interactive Model - 1 Spatial & 2 Temporal Lags | |||||
Cannabis, 1 | In this model Cannabis was considered as both a spatially and temporally lagged variable | |||||
Temporal Lags: | spreml(Cancer Rate ~ Age + Cigarettes * AUD * Cannabis + Analgesics + Cocaine + Income + Five Races) | |||||
Cigarettes, 2 | Cigarettes | 3.9 (2.15, 5.64) | 1.21e-05 | S.D. | 18.7670 | |
AUD, 2 | White | −0.97 (−1.68, − 0.25) | 0.0082 | Log.Lik | − 2419.9740 | |
Cannabis, 2 | AIAN | −6.01 (−9.63, −2.39) | 0.0011 | phi | 0.7901 | 0.0001 |
Analgesics, 2 | African | −0.2 (− 0.31, − 0.1) | 0.0002 | rho | − 0.6287 | 2.11e-14 |
Cocaine, 2 | Cannabis | −0.52 (− 0.71, − 0.32) | 2.58e-07 | lambda | 0.6229 | < 2.2e-16 |
Spatial Lags: | Comprehensive Interactive Model - 1 Spatial & 4 Temporal Lags | |||||
Cannabis, 1 | In this model Cannabis was considered as both a spatially and temporally lagged variable | S.D. | 0.5877 | |||
Temporal Lags: | spreml(Cancer Rate ~ Age + Cigarettes * AUD * Cannabis + Analgesics + Cocaine + Income + Five Races) | Log.Lik | −474.4161 | |||
Cigarettes, 4 | Cocaine | 14.43 (6.66, 22.21) | 0.0003 | phi | 0.5226 | 0.0001 |
AUD, 4 | Income | −0.47 (−0.94, 0) | 0.0492 | rho | −0.5685 | 1.27e-08 |
Cannabis, 4 | Cannabis | −0.32 (− 0.54, − 0.1) | 0.0050 | lambda | 0.6437 | < 2.2e-16 |
Analgesics, 4 | ||||||
Cocaine, 4 | ||||||