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  2. Schirmer's test - Wikipedia

    en.wikipedia.org/wiki/Schirmer's_test

    Schirmer test = 0,00 in Sjögren's syndrome. The test works by the principle of capillary action, which allows the water in tears to travel along the length of a paper test strip in an identical fashion as a horizontal capillary tube. The rate of travel along the test strip is proportional to the rate of tear production.

  3. File:Schirmer's test.svg - Wikipedia

    en.wikipedia.org/wiki/File:Schirmer's_test.svg

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  4. File:Schirmer test =0,00.jpg - Wikipedia

    en.wikipedia.org/wiki/File:Schirmer_test_=0,00.jpg

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  5. Tear break-up time - Wikipedia

    en.wikipedia.org/wiki/Tear_break-up_time

    Tear break-up time (TBUT) also known as tear film break-up time (TFBUT) is the time taken for the first dry spot to appear on the cornea after a complete blink.TFBUT measurement is an easy and fast method used to assess the stability of tear film.

  6. Scheirer–Ray–Hare test - Wikipedia

    en.wikipedia.org/wiki/Scheirer–Ray–Hare_test

    The parametric alternative to the Scheirer–Ray–Hare test is multi-factorial ANOVA, which requires a normal distribution of data within the samples. The Kruskal–Wallis test, from which the Scheirer–Ray–Hare test is derived, serves in contrast to this to investigate the influence of exactly one factor on the measured variable.

  7. Talk:Schirmer's test - Wikipedia

    en.wikipedia.org/wiki/Talk:Schirmer's_test

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  8. Tukey's range test - Wikipedia

    en.wikipedia.org/wiki/Tukey's_range_test

    The value q s is the sample's test statistic. (The notation | x | means the absolute value of x; the magnitude of x with the sign set to +, regardless of the original sign of x.) This q s test statistic can then be compared to a q value for the chosen significance level α from a table of the studentized range distribution.

  9. Score test - Wikipedia

    en.wikipedia.org/wiki/Score_test

    If the null hypothesis is true, the likelihood ratio test, the Wald test, and the Score test are asymptotically equivalent tests of hypotheses. [8] [9] When testing nested models, the statistics for each test then converge to a Chi-squared distribution with degrees of freedom equal to the difference in degrees of freedom in the two models. If ...