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. 2018 Jul 13;1(3):e180713. doi: 10.1001/jamanetworkopen.2018.0713

Table 3. Estimates of Temporal Associations of Alcohol and Tobacco Consumption With Sex- and Age-Specific Cancer Mortality Based on the Cross-Correlation Lag Model.

Characteristic Consumption, Coefficient (95% CI) Model Specification Box-Ljung Q (Lag 10)
Alcohol Tobacco Q Statistic P Valuea
Male by age, y
30-49 0.032 (−0.137 to 0.201) 0.137 (−1.080 to 1.354) 1,1,0 6.404 .70
50-69 0.095(0.040 to 0.150)b 0.170 (0.029 to 0.311)c 1,1,0 10.883 .28
≥70 0.016 (−0.035 to 0.067) 0.263 (0.075 to 0.451)d 0,1,0 8.350 .60
Subtotal 0.043 (0.012 to 0.074)c 0.266 (0.115 to 0.417)d 1,1,0 9.546 .39
Female by age, y
30-49 0.022 (−0.051 to 0.095) 0.070 (−0.181 to 0.321) 1,1,0 5.080 .75
50-69 0.059 (0.008 to 0.110)d 0.063 (−0.151 to 0.277) 0,1,0 8.576 .57
≥70 0.042 (0.020 to 0.064)c 0.067 (−0.015 to 0.149) 0,1,1 7.357 .60
Subtotal 0.035 (0.010 to 0.060)c 0.083 (−0.066 to 0.232) 0,1,1 4.996 .84
a

The Box-Ljung Q test is a diagnostic tool used to test the lack of fit of a time series model, and a P value of the Box-Ljung Q test greater than .10 indicates the test rejects the null hypothesis of lack of fit of the time series model.

b

P < .001.

c

P < .05.

d

P < .01.