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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. Official Diagnosis: Irritable Bowel Syndrome
  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!
    72 18 8 14 23 27 0.00632 False
    72 18 20 25 22 5 0.00418 False
    22 5.5 12 6 1 3 0.00573 False
    17 4.25 6 9 1 1 0.0117 False
    71 17.75 6 19 20 26 0.00743 False
    72 18 29 21 14 8 0.0034 False
    68 17 27 13 16 12 0.0393 False
    38 9.5 13 5 4 16 0.0114 False
    19 4.75 10 4 0 5 0.0136 False
    71 17.75 29 21 13 8 0.00246 False
    38 9.5 16 5 6 11 0.0439 False
    72 18 8 18 20 26 0.0252 False
    59 14.75 7 12 18 22 0.0311 False
    23 5.75 3 2 6 12 0.0143 False
    71 17.75 29 15 14 13 0.0221 False
    65 16.25 25 18 12 10 0.0382 False
    22 5.5 10 7 1 4 0.0424 False
    55 13.75 24 11 13 7 0.00911 False
    16 4 8 6 0 2 0.0186 False
    70 17.5 27 20 10 13 0.0196 False
    45 11.25 19 7 11 8 0.0484 False
    37 9.25 13 11 11 2 0.0489 False
    30 7.5 9 6 13 2 0.0341 False
    72 18 8 14 23 27 0.00632 False
    72 18 20 25 22 5 0.00418 False
    60 15 7 10 21 22 0.00889 False
    72 18 25 18 23 6 0.00701 False
    21 5.25 11 6 1 3 0.0128 False
    36 9 4 9 7 16 0.0341 False
    65 16.25 9 13 17 26 0.0206 False
    26 6.5 7 2 5 12 0.0429 False
    39 9.75 5 5 13 16 0.0211 False
    21 5.25 1 2 9 9 0.0128 False
    23 5.75 2 12 3 6 0.0143 False
    54 13.5 6 9 16 23 0.00505 False
    53 13.25 12 14 5 22 0.0113 False
    21 5.25 3 3 4 11 0.0363 False
    27 6.75 12 5 2 8 0.0438 False
    56 14 11 8 15 22 0.0491 False
    46 11.5 5 8 14 19 0.0171 False
    53 13.25 26 10 7 10 0.000773 True
    59 14.75 6 10 21 22 0.00479 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 0.00149925037481259 because we have 333 bacteria examined.


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