Symptoms when microbiome was taken

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Explanation

Warning: By random chance, 5% (PValue 0.05) are likely to be reported. So if 1000 bacteria are checked with none having a true relationship, 50 will likely be reported as "0.05 significant" (5% of 1000).
The Eureka column shows those that are likely to be meaningful because the odds are significantly less than 5 %. < h4 > Technical notes < p > 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. < p > There is a bias in those that report symptoms --people with medical issues are more likely to enter symptoms.Showing significance on the entire with symptom population is not unexpected and likely points to shared factors of many medical conditions. < p > 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).< br /> 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)< br /> < br /> 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 < i > abnormalities with bacteria.Are there A LOT more or less than expected in one or more of the brackets ? < script > window.onload = function() { var site = document.getElementById('site'); site.value = 'gut'; var sampleId = 0; var elems = document.getElementsByName("sid"); for (var v = 0; v < elems.length; v++) { if (elems[v].value == sampleId) { elems[v].checked= 'checked' } } }