&lt;b&gt;A non-linear mixed-effects model to describe the effect of acarbose intake on postprandial glycaemia in a single rat

Pereira, Omar Cléo Neves; Pereira, Paulo Vitor da Costa; Sybuia, Mauricio Fumio; Barili, Emerson; Santana, Regina Helena Carlucci; Previdelli, Isolde Terezinha Santos

doi:10.4025/actascihealthsci.v39i1.27431

Cited by 1 publication

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“…Even though both could be treated as small sample cases, the repetitions on each experimental unit allows a greater quantity of observed values and increases the degrees of freedom of the proposed models. Furthermore, if the correlations are considered properly in the mixed model, the amount of experimental units may not limit the analysis (PEREIRA et al, 2017). Consequently, the first dataset, fitted with a linear mixed effects model, refers to the CD4 cells count in HIV-positive patients whom, for 30 consecutive days, received a glutamine based food supplement.…”

Section: Introductionmentioning

confidence: 99%

Comparing Longitudinal Profiles Before and After an Intervention

et al. 2019

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Occasionally, the behavior of a response variable monitored over time can be influenced by an intervention performed during the experimental period. With this perspective, this study proposes a simple methodology based on the fitting of two mixed effects models in longitudinal profiles, before and after an intervention, to verify significant differences. The notoriety of this methodology consists of using all repeated observations from the response variable regarding the intervention. This proposed method was motivated by two real datasets. Linear mixed models were fitted in the first dataset, which refers to the CD4 cells count in HIV-positive patients whom, over 30 consecutive days, received a glutamine based food supplement. For the second dataset, nonlinear mixed effects models were fitted for the body mass measurements of preterm newborns whose initial diet was based on breast milk and was subsequently replaced by a commercial food supplement. The proposed methodology was able to identify differences in the growth trend of the CD4 cells count after the observed patients took glutamine based supplementation. Moreover, it provided evidences suggesting the commercial food supplement as an alternative to a breast milk diet in preterm newborns by maintaining the body mass growth trend.

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Section: Introductionmentioning

confidence: 99%