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. 2017 Jun 21;12(6):e0179144. doi: 10.1371/journal.pone.0179144

Table 2. Multilevel models for obesity.

Models 3 and 4 incorporate a random intercept per county/state, a random slope for year, and fixed effects for the FSA score and Fat and Sugar. A likelihood ratio test shows significant differences between the models: Model 1 vs Model 2: χ2(5) = 585.64, p < 0.001; Model 2 vs Model 3: χ2(1) = 23.91, p < 0.001; Model 3 vs Model 4: χ2(1) = 14.67, p < 0.001. For the fixed effects, the number in parenthesis shows the standard error.

Model 1 Model 2 Model 3 Model 4
Variance Components
Var: county:State (Intercept) 8.90 9.01 8.84 9.02
Var: State (Intercept) 4.87 5.35 5.28 5.31
Var: Residual 1.79 0.97 0.96 0.94
Var: County:State Year 0.09 0.09 0.09
Cov: County:State (Intercept) Year -0.28 -0.27 -0.28
Var: State Year 0.00 0.00 0.00
Cov: State (Intercept) Year -0.04 -0.04 -0.04
Fixed Effects
(Intercept) 26.56***
(0.39)
24.89***
(0.42)
14.27***
(2.20)
21.74***
(0.83)
Year 0.30***
(0.03)
0.31***
(0.03)
0.32***
(0.03)
FSA score 1.26***
(0.26)
Fat/100g 0.19*
(0.08)
Sugar/100g 0.08*
(0.03)
AIC 6796.61 6226.47 6205.44 6200.72
BIC 6818.30 6275.28 6259.68 6260.38
Log Likelihood -3394.31 -3104.23 -3092.72 -3089.36
Num. obs. 1675 1675 1675 1675
Num. groups: county:state 311 311 311 311
Num. groups: state 47 47 47 47

Note:

*** p < 0.001,

* p < 0.05