Accelerated Failure Time Survival Model to Analyze Morris Water Maze Latency Data.
J Neurotrauma
; 38(4): 435-445, 2021 02 15.
Article
em En
| MEDLINE
| ID: mdl-32829672
ABSTRACT
Traumatic brain injury (TBI) induces cognitive deficits clinically and in animal models. Learning and memory testing is critical when evaluating potential therapeutic strategies and treatments to manage the effects of TBI. We evaluated three data analysis methods for the Morris water maze (MWM), a learning and memory assessment widely used in the neurotrauma field, to determine which statistical tool is optimal for MWM data. Hidden platform spatial MWM data aggregated from three separate experiments from the same laboratory were analyzed using 1) a logistic regression model, 2) an analysis of variance (ANOVA) model, and 3) an accelerated failure time (AFT) time-to-event model. The logistic regression model showed no significant evidence of differences between treatments among any swims over all days of the study, p > 0.11. Although the ANOVA model found significant evidence of differences between sham and TBI groups on three out of four swims on the third day, results are potentially biased due to the failure of this model to account for censoring. The time-to-event AFT model showed significant differences between sham and TBI over all swims on the third day, p < 0.045, taking censoring into account. We suggest AFT models should be the preferred analytical methodology for latency to platform associated with MWM studies.
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Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Memória Espacial
/
Lesões Encefálicas Traumáticas
/
Teste do Labirinto Aquático de Morris
Limite:
Animals
Idioma:
En
Revista:
J Neurotrauma
Ano de publicação:
2021
Tipo de documento:
Article