Analyzing weight evolution in mice infected by Trypanosoma cruzi
Acta sci., Health sci
; Acta sci., Health sci;42: e51437, 2020.
Article
在 En
| LILACS
| ID: biblio-1372266
Responsible library:
BR513.1
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.
Key words
全文:
1
索引:
LILACS
主要主题:
Trypanosoma cruzi
/
Biotherapics
/
Serum
/
Body-Weight Trajectory
研究类型:
Observational_studies
/
Risk_factors_studies
限制:
Animals
语言:
En
期刊:
Acta Scientiarum. Health Sciences (Online)
/
Acta sci., Health sci
/
Acta scientiarum. Health sciences
期刊主题:
Medicina
/
Sa£de P£blica
年:
2020
类型:
Article