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Figure 4 | BMC Medical Research Methodology

Figure 4

From: Bayesian model selection techniques as decision support for shaping a statistical analysis plan of a clinical trial: An example from a vertigo phase III study with longitudinal count data as primary endpoint

Figure 4

Simulation study: Discriminatory power of DIC and LS ¯ for different scenarios (100 runs per scenario). Data generating process: longitudinal, negative binomial counts with subject-specific intercept (balanced design); modeling strategy: Poisson GLMM with random intercept; number of subjects per group: n = 20,50,100; degree of overdispersion: k = 0.5,1,5,10,20,50. As k, the degree of overdispersion decreases and the negative binomial converges to a Poisson distribution. Hence, DIC and LS ¯ decline. Note that the range of DIC increases in the case of a larger sample size.

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