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  • Inference forLorthogonal models
    Publication . Ferreira, Sandra S.; Ferreira, Dário; Moreira, Elsa E.; Mexia, João T.
    We generalize the class of linear mixed models when normality is assumed.
  • Considering the sample sizes as truncated Poisson random variables in mixed effects models
    Publication . Nunes, Célia; Moreira, Elsa E.; Ferreira, Sandra S.; Ferreira, Dário; Mexia, João T.
    When applying analysis of variance, the sample sizes may not be previously known, so it is more appropriate to consider them as realizations of random variables. A motivating example is the collection of observations during a fixed time span in a study comparing, for example, several pathologies of patients arriving at a hospital. This paper extends the theory of analysis of variance to those situations considering mixed effects models. We will assume that the occurrences of observations correspond to a counting process and the sample dimensions have Poisson distribution. The proposed approach is applied to a study of cancer patients.