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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. Post-exertional malaise: Next-day soreness after everyday activities
  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!
    64 16 12 6 26 20 0.0023 False
    62 15.5 21 22 10 9 0.0249 False
    65 16.25 20 24 15 6 0.0111 False
    25 6.25 5 1 9 10 0.0436 False
    48 12 8 13 7 20 0.0316 False
    34 8.5 11 1 10 12 0.0285 False
    67 16.75 25 24 12 6 0.00147 True
    60 15 21 21 9 9 0.0223 False
    32 8 14 6 9 3 0.0411 False
    65 16.25 28 10 10 17 0.00396 False
    66 16.5 27 20 14 5 0.00124 True
    38 9.5 7 8 6 17 0.0439 False
    52 13 2 12 13 25 0.000136 True
    29 7.25 2 9 5 13 0.0235 False
    38 9.5 7 3 12 16 0.0169 False
    45 11.25 18 14 8 5 0.0276 False
    41 10.25 16 6 14 5 0.0286 False
    65 16.25 13 6 26 20 0.00314 False
    61 15.25 20 22 10 9 0.0316 False
    66 16.5 21 24 15 6 0.00951 False
    47 11.75 9 11 7 20 0.0384 False
    34 8.5 5 4 10 15 0.0285 False
    59 14.75 13 6 24 16 0.0102 False
    30 7.5 2 10 12 6 0.0488 False
    18 4.5 8 2 1 7 0.0416 False
    58 14.5 24 6 15 13 0.00984 False
    62 15.5 21 25 6 10 0.0014 True
    40 10 18 7 9 6 0.0293 False
    38 9.5 7 8 6 17 0.0439 False
    43 10.75 18 11 5 9 0.041 False
    26 6.5 9 3 3 11 0.0493 False
    16 4 3 3 1 9 0.0293 False
    58 14.5 12 6 24 16 0.00813 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 0.00151285930408472 because we have 330 bacteria examined.


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