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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. Comorbid-Mouth: Bruxism - Jaw cleanching / Teeth grinding
  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!
    76 19 17 22 27 10 0.0399 False
    76 19 13 11 16 36 0.000108 True
    75 18.75 11 14 15 35 0.000244 True
    21 5.25 4 1 6 10 0.0431 False
    63 15.75 10 16 10 27 0.00661 False
    73 18.25 9 12 24 28 0.00312 False
    73 18.25 24 10 29 10 0.00137 True
    19 4.75 4 8 0 7 0.0429 False
    42 10.5 4 9 12 17 0.0371 False
    42 10.5 19 8 5 10 0.0156 False
    77 19.25 13 14 15 35 0.000617 True
    20 5 4 1 5 10 0.0384 False
    73 18.25 25 23 10 15 0.0452 False
    36 9 2 11 14 9 0.0341 False
    73 18.25 33 12 13 15 0.00106 True
    77 19.25 29 24 9 15 0.00584 False
    41 10.25 8 15 4 14 0.0486 False
    71 17.75 29 14 12 16 0.0189 False
    60 15 20 11 8 21 0.0384 False
    71 17.75 9 13 18 31 0.00145 True
    58 14.5 8 10 15 25 0.00762 False
    52 13 6 10 16 20 0.0303 False
    18 4.5 9 1 2 6 0.0278 False
    74 18.5 30 21 10 13 0.00458 False
    17 4.25 2 1 10 4 0.00944 False
    34 8.5 6 4 8 16 0.0207 False
    34 8.5 15 5 9 5 0.0485 False
    67 16.75 9 11 22 25 0.0104 False
    76 19 13 12 16 35 0.00036 True
    37 9.25 14 13 4 6 0.0444 False
    41 10.25 15 6 16 4 0.0117 False
    68 17 13 9 15 31 0.000908 True
    76 19 28 21 15 12 0.0482 False
    32 8 15 5 6 6 0.0411 False
    35 8.75 4 6 10 15 0.0443 False
    30 7.5 6 4 6 14 0.0488 False
    65 16.25 13 26 15 11 0.0403 False
    29 7.25 9 3 4 13 0.0302 False
    42 10.5 5 6 13 18 0.0131 False
    27 6.75 5 3 6 13 0.0383 False
    20 5 4 1 5 10 0.0384 False
    56 14 19 5 14 18 0.0333 False
    69 17.25 22 26 8 13 0.00828 False
    52 13 21 15 9 7 0.0264 False
    67 16.75 9 14 19 25 0.0384 False
    41 10.25 8 15 4 14 0.0486 False
    19 4.75 11 4 1 3 0.00757 False
    52 13 6 10 16 20 0.0303 False
    33 8.25 15 11 6 1 0.0038 False
    30 7.5 10 4 13 3 0.0267 False
    66 16.5 12 9 15 30 0.00124 True

    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 0.00145137880986938 because we have 344 bacteria examined.


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