Skip to main content

Table 6 A summary of the results from the models fitted to the continuous outcome data from Bridging the Age Gap trial 1 (N = 748)

From: Analysing cluster randomised controlled trials using GLMM, GEE1, GEE2, and QIF: results from four case studies

 

Unadjusted model

Adjusted modela

Parameters

GLMM

GEE1

GEE2

QIF

GLMM

GEE1

GEE2

QIF

Intervention effect2

        

0.12

-0.19

-0.19

-0.28

1.71

1.71

1.71

1.46

SE

        

1.43

1.26

1.26

1.23

1.40

1.37

1.37

1.20

P-value

        

0.9343

0.8818

0.8810

0.8175

0.2294

0.2127

0.2127

0.2230

95% CI

        

-2.77 to 3.00

-2.65 to 2.28

-2.65 to 2.28

-2.69 to 2.12

-1.12 to 4.53

-0.98 to 4.39

-0.98 to 4.39

-0.89 to 3.80

ICC

        

0.0000

-0.0068

-0.0135

-0.0068

0.0042

0.0028

0.0056

0.0028

Number of subjects

        

748

748

748

748

712

712

712

712

Number of clusters

        

43

43

43

43

43

43

43

43

  1. aModel adjusted for global QoL baseline outcome values. Note that SE Standard error; CI Confidence interval, ICC Intracluster correlation coefficient, GLMM Generalized linear mixed model, mGLM Marginal generalized linear model, GEE Generalized estimating equations, QIF Quadratic inference function
  2. 1. Global QoL score on the EORTC-C30 at 6 months post-baseline. The EORTC-C30 Global scale is scored on a 0 (poor) to 100 (good health) scale
  3. 2. The intervention effect for the continuous outcome is the difference in the mean 6-month Global QoL scores between the intervention groups; with a positive mean difference favouring higher scores (better outcomes) in the intervention group