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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. Age: 60-70
  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!
    25 6.25 12 8 3 2 0.0157 False
    27 6.75 2 4 8 13 0.0149 False
    18 4.5 9 6 2 1 0.0278 False
    25 6.25 4 2 12 7 0.0282 False
    19 4.75 10 2 5 2 0.0293 False
    26 6.5 1 7 11 7 0.0493 False
    19 4.75 3 4 2 10 0.0429 False
    25 6.25 1 3 7 14 0.00125 True
    25 6.25 1 3 7 14 0.00125 True
    23 5.75 0 7 10 6 0.0271 False
    17 4.25 2 0 3 12 0.000175 True
    26 6.5 5 4 4 13 0.0325 False
    22 5.5 2 9 1 10 0.00803 False
    27 6.75 5 14 6 2 0.00862 False
    27 6.75 11 10 2 4 0.0335 False
    27 6.75 2 3 8 14 0.00377 False
    19 4.75 3 4 2 10 0.0429 False
    21 5.25 3 8 9 1 0.0363 False
    24 6 6 1 6 11 0.0396 False
    20 5 3 4 2 11 0.0186 False
    25 6.25 1 3 10 11 0.00752 False
    23 5.75 3 1 6 13 0.00242 True
    19 4.75 1 3 3 12 0.00157 True
    17 4.25 11 2 2 2 0.00253 True
    16 4 0 2 3 11 0.000558 True
    16 4 9 3 4 0 0.0148 False
    27 6.75 1 1 12 13 0.000199 True
    16 4 0 4 11 1 0.000347 True
    27 6.75 2 4 8 13 0.0149 False
    18 4.5 9 6 2 1 0.0278 False
    19 4.75 3 4 2 10 0.0429 False
    27 6.75 13 8 2 4 0.0149 False
    27 6.75 2 4 7 14 0.00655 False
    21 5.25 0 3 8 10 0.00755 False
    22 5.5 2 4 3 13 0.00291 True
    19 4.75 4 1 4 10 0.0293 False
    22 5.5 1 11 6 4 0.0219 False
    20 5 2 4 3 11 0.0186 False
    25 6.25 2 2 11 10 0.00872 False
    22 5.5 1 4 6 11 0.0219 False
    19 4.75 3 4 2 10 0.0429 False
    20 5 3 3 2 12 0.00422 False
    23 5.75 1 0 8 14 5.41E-05 True
    27 6.75 2 4 7 14 0.00655 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 0.00294985250737463 because we have 169 bacteria examined.


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