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Let X 1, …, X n be n random variables and let X i : n denotes their i th order statistic, i = 1, …, n.
The between-study heterogeneity was measured by the statistic I.
In meta-analysis, the fraction of variance that is due to heterogeneity is estimated by the statistic I.
We assessed the heterogeneity among studies using Cochran's Q-test (P < 0.10 for statistical significance) and the I statistic (I value >50% for substantial heterogeneity).
We looked for statistical heterogeneity by inspecting the forest plots for overlapping CIs, applying the Chi test (P value < 0.10 considered statistically significant) and the I statistic (I value of 50% used to denote moderate levels of heterogeneity).
This one was inspired by a statistic I came across.
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As a result of low statistical power of Cochran's Q-statistic, I test was also measured to reflect the possibility of heterogeneity between studies [ 39].
The I statistic [ I = (Q − df)/ Q × 100] describes the percentage of variation across studies that is due to heterogeneity rather than chance.
Heterogeneity also was assessed using the metric of Cochran's Q-statistic, I values of 25, 50 and 75%% correspond to low, medium and high levels of heterogeneity, respectively; values ≤ 50%% indicated an acceptable degree of heterogeneity between studies [ 25].
In an ecological sense, Schoener's D assumes that the suitability scores produced by Maxent are proportional to species abundance, whereas the test-statistic I, treats the two ENMs as probability distributions [ 29].
"I understand people believe I'm just a statistic / I say to them I'm different / I dream of life getting easier," Rose wrote.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com