Skip to main content

Table 6 Generalised estimating equation modelling intervention effects on daily mean purchase counts

From: Prompting consumers to make healthier food choices in hospitals: a cluster randomised controlled trial

      95% CI Exp (γ)
γ SE p Exp(γ)a Lower Upper
Intercept 5.38 0.06 < .001 216.82 192.46 244.25
Group 0.28 0.10 .005 1.32 1.09 1.61
Pre-Post 0.01 0.09 .901 1.01 0.84 1.21
Group*Pre-Post 0.07 0.14 .637 1.07 0.81 1.41
Weekend −0.69 0.02 < .001 0.50 0.48 0.52
  1. Note. Probability distribution: Negative Binomial; Scale Parameter = 0.65; Group: 0 = intervention; 1 = control. Pre-post: 0 = pre; 1 = post. Weekend: 0 = midweek; 1 = weekend; a Exp (γ) can be interpreted as the percentage increase (values > 1) or decrease (values < 1) in the purchase count for each 1-unit increase in the predictor