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相关概念视频

Difference from Background: Limit of Detection01:05

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The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
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Significance testing is a set of statistical methods used to test whether a claim about a parameter is valid. In analytical chemistry, significance testing is used primarily to determine whether the difference between two values comes from determinate or random errors. The effect of a particular change in the measurement protocol, analyst, or sample itself can cause a deviation from the expected result. In the case of a suspected deviation/outlier, we need to be able to confirm mathematically...
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Behrens–Fisher Test00:57

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The Behrens-Fisher test is a statistical method designed to address the Behrens-Fisher problem, which arises when comparing the means of two normally distributed populations with unequal variances. Unlike the Student's t-test, which assumes equal variances, the Behrens-Fisher test allows for mean comparison without this restrictive assumption. This flexibility makes it particularly valuable in scenarios where two independent samples exhibit normality but lack variance homogeneity.
This test...
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Bonferroni Test01:10

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The Bonferroni test is a statistical test named after Carlo Emilio Bonferroni, an Italian mathematician best known for Bonferroni inequalities. This statistical test is a type of multiple comparison test to determine which means are different than the rest. Bonferroni test can minimize the Type 1 error by reducing the significance level alpha, which otherwise increases with sample pairs.
The means of different samples are first paired in all possible combinations.
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A complete procedure to test a claim about population standard deviation or population variance is explained here.
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
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The t-test is a statistical method used to compare the sample mean with a population mean or compare two means from two data sets. The test statistic is calculated from the standard deviation, mean, and number of measurements in the data set at a selected confidence interval and then compared to a table of critical values at this confidence level. If the test statistic is smaller than the critical value, the null hypothesis is accepted. In this case, we state that the difference between the...
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在基线时,ImPACT子测试的最小可检测变化.

Kristen G Quigley1, Madison Fenner1, Philip Pavilionis1

  • 1Department of Kinesiology, School of Public Health, University of Nevada, Reno, NV, USA.

Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists
|January 26, 2024
PubMed
概括

远程即时脑震荡后评估和认知测试 (ImPACT) 的子测试得分在季节之间变化最小. 将这些子测试与复合分数一起评估,可以提高运动员的临床解释能力.

关键词:
头部受伤的原因是头部受伤.轻度认知障碍 轻度认知障碍创伤性脑损伤是一种创伤性脑损伤.

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科学领域:

  • 运动医学 运动医学
  • 神经科学是一个神经科学.
  • 临床心理学 临床心理学

背景情况:

  • 脑震荡后即时评估和认知测试 (ImPACT) 被广泛用于运动员的脑震荡管理.
  • 确定ImPACT子测试的最小可检测变化 (MDC) 对于准确解释远程基线数据至关重要.
  • 了解子试验的变化对于可靠的脑震荡评估至关重要.

研究的目的:

  • 为了确定远程管理的IMPACT认知评估中的单个子测试的最小可检测变化 (MDC).
  • 在连续的运动赛季中评估ImPACT子测试得分的稳定性.
  • 提供支持ImPACT子测试得分在脑震荡管理中的临床实用性的数据.

主要方法:

  • 利用了来自172名NCAA第一师学生运动员的远程IMPACT基线数据,跨越两个运动赛季 (2020-2021).
  • 计算了MDC在95%,90%和80%的置信区间的所有子测试贡献核心和冲动控制复合分数.
  • 使用统计分析,包括重复测量MANOVA,ANOVA和Wilcoxon签名等级测试来评估分数差异.

主要成果:

  • 在95%CI下确定了语言记忆,视觉记忆,视觉运动速度,反应时间和冲动控制子测试的特定MDC值.
  • 在两个远程IMPACT基线管理之间,在子测试得分上没有显示出统计学上显著的差异.
  • 反应时间子测试显示MDC较低 (例如,XO平均值正确为0.12),表明灵敏度更高.

结论:

  • 当远程管理时,ImPACT子测试得分表现出稳定性,并且在运动季节之间没有显著变化.
  • 这些发现支持使用个别的IMPACT子测试得分作为临床脑震荡评估中有价值的指标.
  • 将子测试级别分析与复合分数相结合,为解读脑震荡后认知功能提供了更全面的方法.