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Table 10 Ovarian Cancer – Spatially and Temporally Lagged Space-Time Regression

From: Geotemporospatial and causal inferential epidemiological overview and survey of USA cannabis, cannabidiol and cannabinoid genotoxicity expressed in cancer incidence 2003–2017: part 3 – spatiotemporal, multivariable and causal inferential pathfinding and exploratory analyses of prostate and ovarian cancers

Lagged Variables

Parameter

Model

Parameter

Estimate (C.I.)

P

Coefficient

Value

P-Value

 

Comprehensive Interactive Model - 1 Spatial Lag

     
 

spreml(Cancer Rate ~ Age + Cigarettes * THC * CBG * CBD + AUD + Analgesics + Cocaine + Income + Five Races)

Spatial Lags:

White

47.91 (20.68, 75.13)

0.0006

S.D.

0.4125

 

THC, 1

Age

−2 (−3.46, − 0.55)

0.0070

Log.Lik

−672.3628

 

Cannabidiol, 1

Cannabigerol: Cannabidiol

− 0.94 (− 1.59, − 0.28)

0.0053

phi

4.2682

1.83e-08

Cannabigerol, 1

THC: Cannabigerol

−6.3 (− 10.51, − 2.08)

0.0034

rho

− 0.5883

2.59e-12

 

THC

−31.25 (−46.22, − 16.28)

4.3e-05

lambda

0.6520

< 2.2e-16

Spatial:

Comprehensive Interactive Model - 1 Spatial & 1 Temporal Lags

  

THC, 1

THC Lagged both Temporally and Spatially

     

Cannabigerol, 1

spreml(Cancer Rate ~ Age + Cigarettes * THC * CBG * CBD + AUD + Analgesics + Cocaine + Income + Five Races)

Cannabidiol, 1

Cigarettes

6.17 (3.38, 8.97)

1.54e-05

S.D.

0.6109

 

Temporal:

Hispanic

0.16 (0.03, 0.29)

0.0162

Log.Lik

−621.5385

 

Cigarettes,1

African

−0.11 (−0.21, − 0.02)

0.0201

phi

0.5509

8.38e-05

AUD,1

AIAN

−5.2 (−8.47, −1.94)

0.0018

rho

−0.6617

9.76e-16

THC, 1

Cigarettes: CBG: CBD

−0.28 (− 0.45, − 0.11)

0.0013

lambda

0.6109

<  2.2e-16

Analgesics, 1

Income

−0.83 (−1.3, − 0.36)

0.0006

   

Cocaine, 1

THC

−0.22 (− 0.32, − 0.12)

1.07e-05

   

Spatial:

Comprehensive Interactive Model - 1 Spatial & 2 Temporal Lags

   

THC, 1

THC Lagged both Temporally and Spatially

     

Cannabigerol, 1

spreml(Cancer Rate ~ Age + Cigarettes * THC * CBG * CBD + AUD + Analgesics + Cocaine + Income + Five Races)

Cannabidiol, 1

CBG

0.77 (0.38, 1.16)

9.90e-05

S.D.

0.6190

 

Temporal:

Income

−0.76 (−1.23, − 0.29)

0.0017

Log.Lik

−567.1623

 

Cigarettes,2

THC

−0.52 (− 0.78, − 0.26)

7.78e-05

phi

0.5898

8.16e-05

AUD,2

THC

−0.33 (− 0.48, − 0.17)

2.67e-05

rho

−0.5512

2.44e-08

THC, 2

   

lambda

0.5790

<  2.2e-16

Analgesics, 2

      

Cocaine, 2

      

Spatial:

Comprehensive Interactive Model - 1 Spatial & 4 Temporal Lags

     

THC, 1

THC Lagged both Temporally and Spatially

     

Cannabigerol, 1

spreml(Cancer Rate ~ Age + Cigarettes * THC * CBG * CBD + AUD + Analgesics + Cocaine + Income + Five Races)

Cannabidiol, 1

CBG

0.76 (0.22, 1.31)

0.0061

S.D.

0.5875

 

Temporal:

Cocaine

0.25 (0.09, 0.42)

0.0023

Log.Lik

− 452.9861

 

Cigarettes,4

THC: CBG

0.2 (0.05, 0.35)

0.0073

phi

0.4665

0.0001169

AUD,4

Cigarettes: THC: CBG: THC

−4.21 (−8.39, −0.03)

0.0482

rho

−0.4140

0.0006749

THC, 4

Cigarettes: THC: CBG: CBD: THC

−1.24 (−2.34, −0.15)

0.0261

lambda

0.4449

7.33e-08

Analgesics, 4

THC

−0.47 (− 0.62, − 0.33)

9.73e-11

   

Cocaine, 4