.

.


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. General: Depression
  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!
    20 5 9 7 3 1 0.046 False
    74 18.5 30 21 11 12 0.00506 False
    85 21.25 9 15 22 39 2.81E-05 True
    86 21.5 23 33 22 8 0.00205 False
    21 5.25 11 4 3 3 0.0363 False
    85 21.25 8 24 20 33 0.00166 False
    40 10 7 5 17 11 0.0384 False
    27 6.75 5 9 12 1 0.0171 False
    46 11.5 16 4 10 16 0.035 False
    87 21.75 28 29 19 11 0.0197 False
    87 21.75 10 24 20 33 0.00574 False
    67 16.75 14 8 21 24 0.0263 False
    84 21 29 29 14 12 0.00647 False
    39 9.75 8 2 19 10 0.00161 False
    61 15.25 13 7 23 18 0.0264 False
    26 6.5 4 8 12 2 0.0283 False
    18 4.5 8 2 8 0 0.0101 False
    18 4.5 9 4 5 0 0.0278 False
    64 16 23 14 8 19 0.0487 False
    53 13.25 8 10 13 22 0.0342 False
    69 17.25 10 12 33 14 0.000202 True
    86 21.5 10 15 22 39 5.46E-05 True
    87 21.75 24 33 22 8 0.00205 False
    77 19.25 10 14 21 32 0.00232 False
    86 21.5 26 27 23 10 0.035 False
    29 7.25 14 6 5 4 0.0342 False
    77 19.25 19 14 14 30 0.0311 False
    35 8.75 1 11 14 9 0.0141 False
    44 11 4 7 19 14 0.00573 False
    34 8.5 8 6 3 17 0.00503 False
    67 16.75 24 7 18 18 0.0293 False
    80 20 27 25 11 17 0.0421 False
    35 8.75 7 2 17 9 0.00395 False
    18 4.5 3 10 3 2 0.0278 False
    66 16.5 24 17 8 17 0.0499 False
    76 19 9 14 21 32 0.00132 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 0.00128700128700129 because we have 388 bacteria examined.


    This site is a free site and intended to stay a free site! If this site is really helpful and you are loaded with money -- Amazon Gift cards are always appreciated to defer operating costs.;-)