联合统计分析方法评估小脑卒中患者的快速与缓慢运动训练：一项单病例研究。
Combined statistical analysis method assessing fast versus slow movement training in a patient with cerebellar stroke: a single-case study.
机构信息
Physical Therapy, University of Minnesota, MMC Box 388, 420 Delaware St SE, Minneapolis, MN 55455, USA.
出版信息
Phys Ther. 2013 May;93(5):649-60. doi: 10.2522/ptj.20120121. Epub 2013 Jan 17.
BACKGROUND
Gold standards of data analysis for single-case research do not currently exist.
OBJECTIVE
The purpose of this study was to determine whether a combined statistical analysis method is more effective in assessing movement training effects in a patient with cerebellar stroke.
DESIGN
A crossover single-case research design was conducted.
METHODS
The patient was a 69-year-old man with a chronic cerebellar infarct who received two 5-week phases of finger tracking training at different movement rates. Changes were measured with the Box and Block Test, the Jebsen-Taylor test, the finger extension force test, and the corticospinal excitability test. Both visual analysis and statistical tests (including split-middle line method, t test, confidence interval, and effect size) were used to assess potential intervention effects.
RESULTS
The results of the t tests were highly consistent with the confidence interval tests, but less consistent with the split-middle line method. Most results produced medium to large effect sizes.
LIMITATIONS
The possibility of an incomplete washout effect was a confounding factor in the current analyses.
CONCLUSIONS
The combined statistical analysis method may assist researchers in assessing intervention effects in single-case stroke rehabilitation studies.
背景
目前，单病例研究的数据分析金标准尚不存在。
目的
本研究旨在确定联合统计分析方法是否更有效地评估小脑卒中患者的运动训练效果。
设计
采用交叉单病例研究设计。
方法
患者为 69 岁男性，患有慢性小脑梗死，接受了两个 5 周的手指跟踪训练阶段，运动速度不同。使用 Box 和 Block 测试、Jebsen-Taylor 测试、手指伸展力测试和皮质脊髓兴奋性测试来测量变化。视觉分析和统计检验（包括中分线法、t 检验、置信区间和效应量）均用于评估潜在的干预效果。
结果
t 检验的结果与置信区间检验高度一致，但与中分线法不太一致。大多数结果产生中等至大的效应量。
局限性
当前分析中不完全洗脱效应的可能性是混杂因素。
结论
联合统计分析方法可能有助于研究人员评估中风康复研究中单病例研究的干预效果。
Zotero 插件