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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. Joint: Stiffness and swelling
  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!
    47 11.75 23 10 5 9 0.0014 True
    52 13 5 11 16 20 0.0214 False
    53 13.25 18 13 18 4 0.0197 False
    45 11.25 17 6 5 17 0.0081 False
    52 13 7 12 12 21 0.0493 False
    54 13.5 18 11 20 5 0.0151 False
    55 13.75 22 8 15 10 0.0369 False
    29 7.25 5 4 6 14 0.0342 False
    50 12.5 18 6 9 17 0.0384 False
    40 10 17 12 5 6 0.0244 False
    41 10.25 6 18 10 7 0.0342 False
    52 13 22 7 11 12 0.0246 False
    30 7.5 6 8 2 14 0.0186 False
    47 11.75 7 11 8 21 0.0151 False
    19 4.75 5 1 3 10 0.0242 False
    36 9 9 7 4 16 0.0341 False
    37 9.25 9 4 7 17 0.0183 False
    46 11.5 16 12 15 3 0.0276 False
    52 13 21 13 7 11 0.046 False
    38 9.5 17 6 8 7 0.0439 False
    24 6 5 4 3 12 0.0396 False
    47 11.75 17 6 7 17 0.0241 False
    53 13.25 6 11 16 20 0.0392 False
    54 13.5 19 13 18 4 0.0151 False
    26 6.5 4 2 9 11 0.0429 False
    20 5 7 10 3 0 0.00889 False
    44 11 7 6 12 19 0.0219 False
    26 6.5 1 4 12 9 0.0105 False
    21 5.25 2 3 5 11 0.0257 False
    40 10 19 4 8 9 0.00673 False
    30 7.5 6 8 2 14 0.0186 False
    49 12.25 7 8 14 20 0.031 False
    17 4.25 4 1 3 9 0.0425 False
    21 5.25 4 4 2 11 0.0306 False
    16 4 9 1 1 5 0.0117 False
    18 4.5 4 3 1 10 0.0186 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 0.00175746924428822 because we have 284 bacteria examined.


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