Analyzing weight evolution in mice infected by Trypanosoma cruzi
Acta sci., Health sci
;
42: e51437, 2020.
Artigo
em Inglês
| LILACS
| ID: biblio-1372266
ABSTRACT
Concerning the specificities of a longitudinal study, the trajectories of a subject's mean responses not always present a linear behavior, which calls for tools that take into account the non-linearity of individual trajectories and that describe them towards associating possible random effects with each individual. Generalized additive mixed models (GAMMs) have come to solve this problem, since, in this class of models, it is possible to assign specific random effects to individuals, in addition to rewriting the linear term by summing unknown smooth functions, not parametrically specified, then using the P-splines smoothing technique. Thus, this article aims to introduce this methodology applied to a dataset referring to an experiment involving 57 Swiss mice infected by Trypanosoma cruzi, which had their weights monitored for 12 weeks. The analyses showed significant differences in the weight trajectory of the individuals by treatment group; besides, the assumptions required to validate the model were met. Therefore, it is possible to conclude that this methodology is satisfactory in modeling data of longitudinal sort, because, with this approach, in addition to the possibility of including fixed and random effects, these models allow adding complex correlation structures to residuals.
Texto completo:
DisponíveL
Índice:
LILACS (Américas)
Assunto principal:
Trypanosoma cruzi
/
Bioterápicos
/
Soro
/
Trajetória do Peso do Corpo
Tipo de estudo:
Estudo observacional
/
Fatores de risco
Limite:
Animais
Idioma:
Inglês
Revista:
Acta sci., Health sci
Assunto da revista:
Medicina
/
Sa£de P£blica
Ano de publicação:
2020
Tipo de documento:
Artigo
País de afiliação:
Brasil
Instituição/País de afiliação:
Centro Universitário Ingá/BR
/
Universidade Estadual de Maringá/BR
/
Universidade de São Paulo/BR
Similares
MEDLINE
...
LILACS
LIS