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Updated: Jun 13, 2026

Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns
09:42

Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns

Published on: May 12, 2019

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弗莱堡视力测试 (FrACT):最佳的试验数量?

Michael Bach1

  • 1Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Germany, Freiburg, Germany. bach@uni-freiburg.de.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie
|September 18, 2024
PubMed
概括

确定视觉敏度需要精确度和努力的平衡. 对于8个替代任务,18个试验提供了一个高效的妥协,达到±0.17LogMAR的测试-重新测试精度.

关键词:
效率 效率是指效率是指效率.在LogMAR中使用LogMAR.精确度 精确度 精确度 精确度心理物理学的精神物理.这是一个值.可变性的变化.视力敏度 视力敏度 视力敏度

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Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss07:12

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Wald-Wolfowitz Runs Test I

The Wald-Wolfowitz test, also known as the runs test, is a nonparametric statistical test used to assess the randomness of a sequence of two different types of elements (e.g., positive/negative values, successes/failures). It examines whether the order of the elements in a sequence is random or if there is a pattern or trend present. This nonparametric test applies to any ordered data despite the population and sample data distribution, even if a higher sample size is available.
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Wald-Wolfowitz Runs Test II

The Wald-Wolfowitz runs test, commonly referred to as the runs test, is a nonparametric test used to assess the randomness of ordered data. The test evaluates the number of runs, which are consecutive sequences of similar elements within the data. If the number of runs is significantly higher or lower than expected, the data is considered non-random, indicating a detectable pattern or structure.
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Behrens–Fisher Test

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