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  2. Funnel plot - Wikipedia

    en.wikipedia.org/wiki/Funnel_plot

    Funnel plots, introduced by Light and Pillemer in 1984 [1] and discussed in detail by Matthias Egger and colleagues, [2] [3] are useful adjuncts to meta-analyses. A funnel plot is a scatterplot of treatment effect against a measure of study precision.

  3. Matthias Egger - Wikipedia

    en.wikipedia.org/wiki/Matthias_Egger

    In 1997, Egger published a paper describing a method for detecting bias in meta-analyses by analyzing funnel plots. [4] This paper has been cited more than 38,600 times on Google Scholar as of May 2022. [5] In 2005, Egger published a study comparing 110 trials of homeopathy with 110 trials of conventional medicine in the Lancet.

  4. 1951 USAF resolution test chart - Wikipedia

    en.wikipedia.org/wiki/1951_USAF_resolution_test...

    A 1951 USAF resolution test chart is a microscopic optical resolution test device originally defined by the U.S. Air Force MIL-STD-150A standard of 1951. The design provides numerous small target shapes exhibiting a stepped assortment of precise spatial frequency specimens.

  5. Scree plot - Wikipedia

    en.wikipedia.org/wiki/Scree_plot

    Scree plots can have multiple "elbows" that make it difficult to know the correct number of factors or components to retain, making the test unreliable. There is also no standard for the scaling of the x and y axes, which means that different statistical programs can produce different plots from the same data.

  6. Hydrophilicity plot - Wikipedia

    en.wikipedia.org/wiki/Hydrophilicity_plot

    A hydrophilicity plot is a quantitative analysis of the degree of hydrophobicity or hydrophilicity of amino acids of a protein.It is used to characterize or identify possible structure or domains of a protein.

  7. Cochran–Armitage test for trend - Wikipedia

    en.wikipedia.org/wiki/Cochran–Armitage_test_for...

    To test whether allele a is recessive to allele A, the optimal choice is t = (0, 1, 1). To test whether alleles a and A are codominant, the choice t = (0, 1, 2) is locally optimal. For complex diseases, the underlying genetic model is often unknown. In genome-wide association studies, the additive (or codominant) version of the test is often used.

  8. Variance decomposition of forecast errors - Wikipedia

    en.wikipedia.org/wiki/Variance_decomposition_of...

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  9. Newcastle–Ottawa scale - Wikipedia

    en.wikipedia.org/wiki/Newcastle–Ottawa_scale

    In statistics, the Newcastle–Ottawa scale is a tool used for assessing the quality of non-randomized studies included in a systematic review and/or meta-analyses.Using the tool, each study is judged on eight items, categorized into three groups: the selection of the study groups; the comparability of the groups; and the ascertainment of either the exposure or outcome of interest for case ...