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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. Asymptomatic: No Health Issues
  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!
    63 15.75 10 30 11 12 0.000608 True
    100 25 15 35 23 27 0.0398 False
    31 7.75 10 14 4 3 0.0153 False
    40 10 3 13 7 17 0.00889 False
    78 19.5 33 15 16 14 0.00568 False
    88 22 23 33 14 18 0.027 False
    34 8.5 4 10 15 5 0.0285 False
    40 10 3 13 7 17 0.00889 False
    31 7.75 9 7 13 2 0.0441 False
    23 5.75 10 7 6 0 0.0271 False
    81 20.25 19 14 31 17 0.0414 False
    23 5.75 10 8 1 4 0.0371 False
    22 5.5 4 1 3 14 0.00037 True
    54 13.5 16 21 3 14 0.00505 False
    81 20.25 28 25 19 9 0.0154 False
    25 6.25 5 12 6 2 0.0377 False
    103 25.75 32 23 15 33 0.0395 False
    27 6.75 11 2 10 4 0.0335 False
    86 21.5 20 37 20 9 0.000323 True
    86 21.5 28 29 16 13 0.025 False
    72 18 30 12 14 16 0.0111 False
    17 4.25 2 1 3 11 0.00203 False
    110 27.5 17 34 24 35 0.0453 False
    93 23.25 14 26 33 20 0.0359 False
    56 14 14 26 10 6 0.00113 True
    40 10 3 13 7 17 0.00889 False
    40 10 3 13 7 17 0.00889 False
    31 7.75 10 14 4 3 0.0153 False
    76 19 9 19 25 23 0.046 False
    21 5.25 2 1 6 12 0.0026 False
    46 11.5 14 7 5 20 0.00654 False
    95 23.75 33 18 28 16 0.0405 False
    21 5.25 9 4 0 8 0.0216 False
    65 16.25 27 11 12 15 0.0184 False
    17 4.25 1 5 9 2 0.0278 False
    41 10.25 12 4 6 19 0.00395 False
    64 16 22 20 15 7 0.0389 False
    16 4 9 3 3 1 0.0293 False
    17 4.25 1 4 9 3 0.0425 False
    30 7.5 14 11 2 3 0.00291 False
    61 15.25 26 13 11 11 0.0163 False
    26 6.5 10 12 2 2 0.00516 False
    95 23.75 15 17 32 31 0.0168 False
    45 11.25 8 17 15 5 0.0351 False
    91 22.75 21 21 34 15 0.0372 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 0.00118343195266272 because we have 422 bacteria examined.


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