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相关概念视频

Multiple Comparison Tests01:13

Multiple Comparison Tests

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Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
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McNemar's Test01:23

McNemar's Test

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McNemar's Test is a nonparametric statistical test used to determine if there is a significant difference in proportions between two related groups when the outcome is binary (e.g., yes/no, success/failure). It is beneficial when we have paired data, such as pre-test/post-test designs, where the same subjects are measured under two different conditions. The test is named after the statistician Quinn McNemar, who introduced it in 1947. It is commonly used in situations where subjects are...
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Test for Homogeneity01:23

Test for Homogeneity

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The goodness–of–fit test can be used to decide whether a population fits a given distribution, but it will not suffice to decide whether two populations follow the same unknown distribution. A different test, called the test for homogeneity, can be used to conclude whether two populations have the same distribution. To calculate the test statistic for a test for homogeneity, follow the same procedure as with the test of independence. The hypotheses for the test for homogeneity can...
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Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test01:09

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In parametric statistics, two fundamental tests stand out for their utility and wide application: the Student's t-test and goodness-of-fit tests. These tests provide researchers with a robust method for drawing insights from data, testing hypotheses, and making informed decisions based on their findings.
The Student's t-test is a statistical test that examines if there is a statistically significant difference between the means of two groups. This test is instrumental when dealing with...
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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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Introduction to MATLAB01:24

Introduction to MATLAB

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MATLAB stands for Matrix Laboratory. MathWorks developed MATLAB as a multi-paradigm numerical computing environment and proprietary programming language. It has evolved significantly over the years to become a tool utilized by engineers, scientists, and mathematicians for various tasks, including matrix calculations, developing algorithms, data analysis, and visualization. MATLAB's applications span various industries and disciplines. It's used in image and signal processing,...
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相关实验视频

Updated: Jul 4, 2025

Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI
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永久工具:一个 MATLAB 包,用于多变量永久测试.

Michael J Crosse1,2,3, John J Foxe3,4, Sophie Molholm3,4

  • 1Segotia, Galway, Ireland.

ArXiv
|February 5, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了 PERMUTOOLS,这是一个用于高级统计分析的 MATLAB 软件包. 它提供无分布变量测试和效果大小测量,提高定量研究的准确性.

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科学领域:

  • 统计 统计 统计 统计
  • 计算统计学 计算统计学
  • 数据科学数据科学数据科学

背景情况:

  • 传统的参数统计方法依赖于可能不成立的人口假设.
  • 这可能导致定量研究中不准确的结果和误解.
  • 再抽样方法提供了一个替代方案,但往往缺乏高效的软件实现.

研究的目的:

  • 介绍 PERMUTOOLS,这是一个 MATLAB 软件包,用于多变量变量测试和效果大小测量.
  • 为研究人员提供一个强大的,基于经验的工具,用于统计推断.
  • 解决传统参数方法的局限性和现有的低效的重新采样实施.

主要方法:

  • 使用排列测试来经验地生成采样分布,提供无分布的假设测试.
  • 实现多次比较的最大校正,降低II型错误的风险.
  • 采用 permutation 或 bootstrapping 技术来经验性估计置信区间和效果大小.

主要成果:

  • PERMUTOOLS提供了一种高效的 MATLAB 实现,用于多变量排列测试.
  • 该包方便使用重新采样技术准确测量效果大小.
  • 允许无分布的假设测试和强大的多重比较校正.

结论:

  • PERMUTOOLS为寻求准确可靠的统计推断的研究人员提供了一个有价值的工具.
  • 该套餐通过提供高效,经验基础的分析方法来增强定量研究.
  • 促进在统计实践中采用先进的重新抽样技术.