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应用加速失效时间生存模型分析 Morris 水迷宫潜伏期数据。

Accelerated Failure Time Survival Model to Analyze Morris Water Maze Latency Data.

机构信息

The Moody Project for Translational Traumatic Brain Injury Research, University of Texas Medical Branch, Galveston, Texas, USA.

Office of Biostatistics, Department of Preventive Medicine and Population Health, University of Texas Medical Branch, Galveston, Texas, USA.

出版信息

J Neurotrauma. 2021 Feb 15;38(4):435-445. doi: 10.1089/neu.2020.7089. Epub 2020 Oct 19.

DOI:10.1089/neu.2020.7089
PMID:32829672
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7875609/
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,  > 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,  < 0.045, taking censoring into account. We suggest AFT models should be the preferred analytical methodology for latency to platform associated with MWM studies.

摘要

创伤性脑损伤(TBI)在临床上和动物模型中引起认知缺陷。在评估潜在的治疗策略和治疗方法以管理 TBI 的影响时,学习和记忆测试至关重要。我们评估了 Morris 水迷宫(MWM)的三种数据分析方法,MWM 是神经创伤学领域广泛使用的学习和记忆评估方法,以确定哪种统计工具最适合 MWM 数据。从同一实验室的三个单独实验中汇总的隐藏平台空间 MWM 数据使用 1)逻辑回归模型、2)方差分析(ANOVA)模型和 3)加速失效时间(AFT)时间事件模型进行分析。逻辑回归模型显示,在研究的所有日子的所有游泳中,治疗之间没有显著差异,>0.11。尽管 ANOVA 模型发现假手术和 TBI 组在第三天的四次游泳中有三次有显著差异,但由于该模型未能考虑到删失,结果可能存在偏差。时间事件 AFT 模型考虑到删失,在第三天的所有游泳中,假手术和 TBI 之间存在显著差异,<0.045。我们建议 AFT 模型应该是与 MWM 研究相关的潜伏期到平台的首选分析方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0c6/7875609/0c31877b07d9/neu.2020.7089_figure5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0c6/7875609/ac8597912498/neu.2020.7089_figure1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0c6/7875609/2a219a399f4f/neu.2020.7089_figure2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0c6/7875609/202214b124cc/neu.2020.7089_figure3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0c6/7875609/8b24aa2cc407/neu.2020.7089_figure4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0c6/7875609/0c31877b07d9/neu.2020.7089_figure5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0c6/7875609/ac8597912498/neu.2020.7089_figure1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0c6/7875609/2a219a399f4f/neu.2020.7089_figure2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0c6/7875609/202214b124cc/neu.2020.7089_figure3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0c6/7875609/8b24aa2cc407/neu.2020.7089_figure4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0c6/7875609/0c31877b07d9/neu.2020.7089_figure5.jpg

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