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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: Tenderness
  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!
    39 9.75 19 9 5 6 0.00561 False
    41 10.25 4 6 9 22 0.000249 True
    43 10.75 20 13 6 4 0.00203 True
    24 6 6 3 3 12 0.0293 False
    18 4.5 4 2 2 10 0.0227 False
    41 10.25 6 8 9 18 0.0408 False
    41 10.25 18 7 6 10 0.0342 False
    37 9.25 7 8 5 17 0.0272 False
    43 10.75 18 14 6 5 0.0115 False
    26 6.5 5 3 5 13 0.0283 False
    22 5.5 4 3 3 12 0.0157 False
    42 10.5 18 6 10 8 0.048 False
    42 10.5 20 11 7 4 0.00318 False
    30 7.5 4 12 3 11 0.0341 False
    40 10 7 7 7 19 0.0129 False
    28 7 2 9 2 15 0.000756 True
    31 7.75 2 6 13 10 0.0311 False
    27 6.75 7 5 2 13 0.0224 False
    43 10.75 19 14 6 4 0.00342 False
    27 6.75 4 3 6 14 0.0113 False
    18 4.5 3 3 2 10 0.0278 False
    27 6.75 13 6 4 4 0.0438 False
    41 10.25 5 6 9 21 0.0012 True
    43 10.75 20 13 6 4 0.00203 True
    36 9 5 10 5 16 0.0278 False
    16 4 9 1 3 3 0.0293 False
    24 6 6 3 3 12 0.0293 False
    38 9.5 5 6 8 19 0.00431 False
    42 10.5 21 10 6 5 0.00155 True
    26 6.5 8 3 3 12 0.0325 False
    32 8 9 1 10 12 0.0328 False
    34 8.5 8 8 3 15 0.0353 False
    16 4 8 5 0 3 0.0367 False
    38 9.5 10 2 12 14 0.033 False
    20 5 0 7 10 3 0.00889 False
    21 5.25 0 2 12 7 0.000885 True
    41 10.25 15 15 3 8 0.0184 False
    22 5.5 5 2 4 11 0.0424 False
    18 4.5 3 2 2 11 0.00542 False
    28 7 2 9 2 15 0.000756 True
    36 9 4 6 8 18 0.00488 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 0.00204498977505112 because we have 244 bacteria examined.


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