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Claudio S Quilodrán1, Mathias Currat1,2, Juan I Montoya-Burgos1,2

  • 1Department of Genetics and Evolution, University of Geneva, Geneva, Switzerland.

PubMed
概括

曼特尔测试可靠地分析生态和进化中的距离变量,即使有空间自相对应. 避免转换变量类型,以保持数据完整性和假设准确性.

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The Mantel-Cox Log-Rank Test01:19

The Mantel-Cox Log-Rank Test

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Kendall's Tau Test01:16

Kendall's Tau Test

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A τ value...
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Wilcoxon Signed-Ranks Test for Matched Pairs01:09

Wilcoxon Signed-Ranks Test for Matched Pairs

The Wilcoxon signed-rank test for matched pairs evaluates the null hypothesis by combining the ranks of differences with their signs. It essentially tests whether the median of the differences in a population of matched pairs is zero. Since the test incorporates more information than the sign test, it generally yields more trustable conclusions. This test also does not require the data to follow a normal distribution, but two conditions must be met for it to be applicable: (1) the data must...
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McNemar's Test01:23

McNemar's Test

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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