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相关概念视频

Censoring Survival Data01:09

Censoring Survival Data

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Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different...
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Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

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Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
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Blinding01:11

Blinding

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Blinding is a commonly used method of not telling participants which treatment a subject is receiving. Blinding is a critical part of a randomized control trial or RCT. It reduces the bias that affects the results. In an RCT, blinding is used in the form of a placebo. A placebo effect occurs when untreated subjects falsely believe they have received the treatment and report improved symptoms. A placebo or a dummy treatment is administered to subjects to negate the bias caused by such an effect.
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False Memories01:18

False Memories

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False memories represent a cognitive distortion in which individuals recall events that did not happen, or remember them in an altered form. This phenomenon highlights the brain's constructive nature in processing and recalling memories, emphasizing that memory is not a perfect representation of past events but rather a dynamic reconstruction influenced by various factors.
One primary source of false memories is misattribution, where individuals incorrectly associate external information...
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Friedman Two-way Analysis of Variance by Ranks01:21

Friedman Two-way Analysis of Variance by Ranks

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Friedman's Two-Way Analysis of Variance by Ranks is a nonparametric test designed to identify differences across multiple test attempts when traditional assumptions of normality and equal variances do not apply. Unlike conventional ANOVA, which requires normally distributed data with equal variances, Friedman's test is ideal for ordinal or non-normally distributed data, making it particularly useful for analyzing dependent samples, such as matched subjects over time or repeated measures...
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Detection of Gross Error: The Q Test01:00

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When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
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相关实验视频

Updated: Jun 18, 2025

An Integrated Workflow of Identification and Quantification on FDR Control-Based Untargeted Metabolome
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控制高维数据中调解器选择的错误发现率.

Ran Dai1, Ruiyang Li2, Seonjoo Lee3

  • 1Department of Biostatistics, University of Nebraska Medical Center, Omaha, NE 68198, United States.

Biometrics
|July 29, 2024
PubMed
概括

这项研究引入了一种新的方法来选择高维数据中的介质,如神经成像和遗传数据,同时控制错误发现率 (FDR). 该方法在一项大型研究中成功识别了与童年逆境和认知分数相关的大脑连接标记.

关键词:
在FDR的FDR中.高维媒介的高维媒介.图像数据 图像数据 图像数据这是仿制品.

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相关实验视频

Last Updated: Jun 18, 2025

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科学领域:

  • 神经科学是一个神经科学.
  • 遗传学 是一个遗传学.
  • 生物统计学 生物统计学

背景情况:

  • 在神经科学和遗传学中常见的高维数据集中,调解者选择至关重要.
  • 现有的方法可能缺乏对复杂数据的强有力的错误发现率 (FDR) 控制.

研究的目的:

  • 开发一种新的统计框架,用于从高维数据中选择调解员.
  • 实施一种确保FDR控制中介者识别的方法.

主要方法:

  • 制定了一个多假设测试框架,用于调解员的选择.
  • 扩展基于淘汰的变量选择用于FDR控制的介质识别.
  • 为实际应用开发了相应的算法.

主要成果:

  • 拟议的方法和算法实现了有限样本的FDR控制.
  • 与现有方法相比,模拟显示出更高的功率和有限样本性能.
  • 成功应用于青少年大脑认知发展 (ABCD) 研究.

结论:

  • 开发的方法提供了一个统计严格的方法,在高维设置中选择调解者.
  • 确定了休息状态功能磁共振成像 (fMRI) 连接标记,作为不良童年经历和认知得分之间的调解者.
  • 突出了该方法在像ABCD这样的大规模神经成像研究中的实用性.