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mixed model was applied. The Poisson, Gamma, Log Normal, Normal and Binomial variants were analyzed to determine data distribution. Several variance-covariance structures were tested to select the best fit and the information criteria that obtained the smallest values were considered. The use of these statistical models allows to adequately control the probability of occurrence of type I error, since it provides greater flexibility and information when selecting the best fit model, in addition to allowing to
analyze unbalanced data.
Key words: longitudinal data, covariance structures, information criteria
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