Bayesian homogeneous model

Marcoulaki et al. (2012) assumed that all workers have the same accident and recovery rates. Thus, the authors used data from all workers together and treated them as homogenous in order to formulate the likelihood function of the Bayesian model. However, due to the existence of subjective and individual characteristics it is expected that a same class of employees have a unique accident and recovery rates even though they have similar functions in the workplace or are allocated in the same occupational environment as other employees. Therefore, a population variability assessment over the rates is more appropriate for accidents analysis. 

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