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The information on this site is from academic and research studies. Applicability to humans must be determined by a licensed medical professional.

Symptoms when microbiome was taken

Based on self-reporting of symptoms and conditions.
Only items with 16 or more reports in the current filter are shown. 16 is the minimal level to detect significance.

What are we doing? Imagine taking all of the salaries in a company and grouping them into the 4 EQUAL-SIZED groups - creating brackets (0-$18000, $18000-$63000, $63000- $75000, over $75000).
We now do a count of women in each of these brackets. We now look for counts in each bracket that are above or below expectation. If we see 75% in $18000-$63000 (instead of the expected 25%), we would conclude that there may be inequality in wages for women. In some cases, the average women wage may be the same as men (because a few of the highest paid are women, bringing up the average)

In this case, it may be that women are not hired for maintenance, grounds (lowest bracket) or managers -- just as clerical. This is how we detect abnormalities with bacteria. Are there A LOT more or less than expected in one or more of the brackets?

Restricted to

  1. Infection: Epstein-Barr virus
  2. Bacteria

    The Box-Plot method is used to compute significant, using the counts in each of the 4 quartiles from the full population of samples. See this page on the associated blog for more information.

    Only statistically significant patterns are shown below. The number in each Quartile are expected to be the same. Observed for these conditions is shown.

    Bacteria People Expected in each group Bottom 25% Low 25% High 25% Top 25% P Value Eureka!
    55 13.75 18 20 8 9 0.0421 False
    64 16 17 17 25 5 0.00521 False
    63 15.75 5 11 23 24 0.000926 True
    64 16 16 18 23 7 0.0389 False
    44 11 7 6 18 13 0.036 False
    63 15.75 5 14 19 25 0.00345 False
    47 11.75 15 21 6 5 0.00193 False
    52 13 7 11 13 21 0.046 False
    37 9.25 16 4 7 10 0.0365 False
    63 15.75 6 19 19 19 0.045 False
    65 16.25 7 13 20 25 0.00934 False
    47 11.75 17 21 4 5 0.000328 True
    28 7 4 14 9 1 0.00291 False
    17 4.25 4 10 2 1 0.00944 False
    64 16 6 22 22 14 0.0117 False
    39 9.75 9 17 8 5 0.0444 False
    42 10.5 6 12 5 19 0.00772 False
    48 12 11 6 11 20 0.0367 False
    40 10 6 5 12 17 0.0244 False
    63 15.75 6 11 23 23 0.00272 False
    47 11.75 15 21 6 5 0.00193 False
    64 16 16 19 24 5 0.00697 False
    40 10 9 5 18 8 0.0244 False
    44 11 7 6 18 13 0.036 False
    63 15.75 27 17 10 9 0.00437 False
    56 14 6 10 19 21 0.0117 False
    64 16 19 22 16 7 0.0487 False
    38 9.5 11 4 16 7 0.0363 False
    27 6.75 2 4 5 16 0.000534 True
    59 14.75 11 14 10 24 0.0398 False
    19 4.75 1 2 6 10 0.0136 False
    26 6.5 8 3 12 3 0.0325 False
    22 5.5 5 3 3 11 0.0499 False
    59 14.75 23 17 9 10 0.0331 False
    20 5 1 1 7 11 0.00241 False
    61 15.25 13 25 9 14 0.0264 False
    60 15 13 25 17 5 0.00309 False
    22 5.5 5 2 4 11 0.0424 False
    54 13.5 5 10 19 20 0.00877 False

    Warning: By random chance, 5% (PValue 0.05) are likely to be reported. So if 1000 bacteria are checked, 50 will likely be reported as "0.05 significant" (5% of 1000). The Eureka column shows those that are likely to be meaningful.

    The Eureka PValues is about 0.0014903129657228 because we have 335 bacteria examined.


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