Linear mixed model for weight analysis in mice infected by Trypanosoma cruzi
Acta sci., Health sci
;
42: e49916, 2020.
Article
in English
| LILACS
| ID: biblio-1378169
ABSTRACT
The use of linear mixed models for nested structure longitudinal data is called hierarchical linear modeling. Thismodeling 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 usingdifferent 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.
Full text:
Available
Index:
LILACS (Americas)
Main subject:
Trypanosoma cruzi
/
Biotherapics
/
Models, Statistical
Type of study:
Prognostic study
/
Risk factors
Limits:
Animals
Language:
English
Journal:
Acta sci., Health sci
Journal subject:
Medicina
/
Sa£de P£blica
Year:
2020
Type:
Article
Affiliation country:
Brazil
Institution/Affiliation country:
Centro Universitário Ingá/BR
/
Universidade Estadual de Maringá/BR
/
Universidade Estadual do Oeste do Paraná/BR
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