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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. Immune Manifestations: Bloating
  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!
    143 35.75 27 36 28 52 0.0106 False
    147 36.75 53 38 29 27 0.00953 False
    51 12.75 16 19 10 6 0.0448 False
    146 36.5 30 35 29 52 0.0251 False
    143 35.75 49 28 38 28 0.0382 False
    98 24.5 19 22 20 37 0.0337 False
    143 35.75 53 32 28 30 0.0101 False
    141 35.25 45 27 42 27 0.0492 False
    122 30.5 26 22 28 46 0.0111 False
    90 22.5 35 21 15 19 0.0178 False
    28 7 11 8 9 0 0.0186 False
    123 30.75 43 29 31 20 0.033 False
    32 8 11 6 14 1 0.00657 False
    49 12.25 15 20 8 6 0.0171 False
    139 34.75 44 50 22 23 0.000482 True
    17 4.25 2 10 4 1 0.00944 False
    60 15 24 8 15 13 0.0302 False
    61 15.25 20 22 9 10 0.0316 False
    50 12.5 12 10 6 22 0.0111 False
    49 12.25 6 8 18 17 0.0267 False
    65 16.25 9 14 25 17 0.0403 False
    71 17.75 10 11 23 27 0.00635 False
    115 28.75 40 13 25 37 0.0012 False
    89 22.25 15 19 20 35 0.0157 False
    129 32.25 44 35 18 32 0.0128 False
    90 22.5 35 20 18 17 0.0237 False
    127 31.75 31 22 30 44 0.0496 False
    49 12.25 8 7 14 20 0.031 False
    19 4.75 4 4 10 1 0.0293 False
    19 4.75 5 11 2 1 0.00511 False
    20 5 6 11 2 1 0.00613 False
    60 15 22 10 9 19 0.0384 False
    28 7 7 15 3 3 0.00332 False
    46 11.5 10 17 16 3 0.0125 False
    108 27 40 29 22 17 0.0115 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 0.00101317122593718 because we have 493 bacteria examined.


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