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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. Neuroendocrine: Feeling hot or cold for no reason
  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!
    54 13.5 5 8 16 25 0.000472 True
    55 13.75 23 15 13 4 0.00405 False
    17 4.25 9 1 4 3 0.0425 False
    38 9.5 14 3 15 6 0.0114 False
    54 13.5 5 11 16 22 0.00877 False
    17 4.25 9 1 4 3 0.0425 False
    29 7.25 8 6 13 2 0.0342 False
    40 10 10 2 18 10 0.00509 False
    56 14 20 18 11 7 0.0491 False
    56 14 7 11 16 22 0.0293 False
    31 7.75 9 4 3 15 0.00845 False
    38 9.5 9 8 4 17 0.0248 False
    41 10.25 4 16 16 5 0.00474 False
    54 13.5 21 10 6 17 0.0173 False
    45 11.25 7 6 17 15 0.0412 False
    55 13.75 22 16 10 7 0.0217 False
    55 13.75 22 13 14 6 0.0248 False
    29 7.25 6 6 3 14 0.0267 False
    18 4.5 10 1 4 3 0.0186 False
    38 9.5 13 5 15 5 0.033 False
    57 14.25 21 18 12 6 0.0254 False
    28 7 7 3 5 13 0.046 False
    24 6 10 1 10 3 0.0117 False
    55 13.75 6 8 16 25 0.000963 True
    56 14 24 15 13 4 0.00238 False
    17 4.25 9 1 4 3 0.0425 False
    28 7 8 5 13 2 0.0241 False
    49 12.25 6 8 16 19 0.023 False
    17 4.25 9 1 4 3 0.0425 False
    55 13.75 24 14 12 5 0.00378 False
    19 4.75 5 0 9 5 0.0354 False
    29 7.25 5 3 8 13 0.0497 False
    25 6.25 3 2 10 10 0.0282 False
    48 12 14 10 5 19 0.0316 False
    22 5.5 4 1 7 10 0.0424 False
    31 7.75 9 4 3 15 0.00845 False
    33 8.25 8 7 3 15 0.0285 False
    50 12.5 14 19 5 12 0.0444 False
    45 11.25 19 3 10 13 0.0081 False
    42 10.5 6 5 17 14 0.0186 False
    48 12 14 21 5 8 0.00585 False
    31 7.75 12 1 8 10 0.0311 False
    29 7.25 6 6 3 14 0.0267 False
    39 9.75 17 10 8 4 0.028 False
    17 4.25 9 1 4 3 0.0425 False
    46 11.5 19 14 10 3 0.00769 False
    18 4.5 8 7 2 1 0.0416 False
    27 6.75 7 2 5 13 0.0224 False
    21 5.25 6 2 11 2 0.0153 False
    17 4.25 9 1 4 3 0.0425 False
    48 12 5 8 16 19 0.0127 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 0.00168067226890756 because we have 297 bacteria examined.


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