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Table 6 Comparison of multilevel models for change for each health outcome before introducing ICF categories in the model and for the final model

From: The psychosocial difficulties in brain disorders that explain short term changes in health outcomes

 

GH Scale

MCS

WHODAS II Score

 

Before introducing ICF categories

Final model

Before introducing ICF categories

Final model

Before introducing ICF categories

Final model

Variance estimates of random effects: mean (SE)

Intercept

267.81** (22.01)

211.96** (17.75)

52.27** (5.63)

35.94** (3.76)

127.63** (12.95)

72.65** (7.38)

Residual

130.02** (6.61)

115.79** (5.90)

57.41** (3.09)

42.24** (2.25)

78.08** (4.15)

55.42** (2.95)

Goodness-of-Fit: mean (SE)

Deviance (−2 Log Likelihood)

10250.08 (3.98)

10110.68 (4.67)

8148.10 (2.60)

7798.55 (4.34)

8965.81 (3.27)

8496.80 (8.56)

Number of Parameters

16

24

15

25

15

21

Chi-square statistic(Degrees of freedom)

11.82** (10)

251.22** (18)

262.92** (10)

612.47** (20)

261.96** (10)

730.97** (16)

AIC

10282.08 (3.98)

10062.68 (4.67)

8118.10 (2.60)

7748.55 (4.34)

8935.81 (3.27)

8454.80 (8.56)

  1. The deviance and Akaike’s Information Criterion (AIC). The smaller the deviance and the AIC the better the model fits the data.
  2. *P < 0.05, **P < 0.001.
  3. Variance estimates of random effects and goodness-of-fit statistics are reported for each model. For assessing goodness-of-fit the models are compared to the corresponding individual growth model. For each parameter its mean and the mean of its standard errors (SE) over the five imputed datasets are reported.