文章基本信息

标题：Linear mixed model for weight analysis in mice infected by Trypanosoma cruzi
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作者：Roney Peterson Pereira ; Terezinha Aparecida Guedes ; Érika Cristina Ferreira 等
期刊名称：Acta Scientiarum. Health Sciences
印刷版ISSN：1679-9291
电子版ISSN：1807-8648
出版年度：2020
卷号：42
页码：1-14
DOI：10.4025/actascihealthsci.v42i1.49916
出版社：Universidade Estadual de Maringá
摘要：The use of linear mixed models for nested structure longitudinal data is called hierarchical linear modeling. This modeling takes into account the dependence of existing data within each level and between hierarchical levels. The process of modeling, estimating and analyzing diagnoses was illustrated through data on the weights of mice experimentally infected by Trypanosoma cruzi, divided into different treatment groups, with the purpose of verifying the evolution of their body weight as a result of using different types of biotherapeutics produced from Gallus gallus domesticus (chicken) serum to treat Trypanosoma cruzi. Through the model selection criteria AIC and BIC and the likelihood ratio test, a model was chosen to describe the data correctly. Model diagnoses were then performed by means of residual analysis for both levels and an analysis of influential observations to verify if any observations were signaled as influencing the fixed effects, the components of variance and the adjusted values. After the analysis, it was possible to notice that the observations that were signaled as influential had little impact on the Model chosen initially, so it was maintained, with no differences being evidenced between the treatments with the biotherapeutics tested; only the Time variable and the Random intercept were necessary to describe the weight of the mice.
关键词：Epidemiology and biostatistics;statistical models;chagas disease.