Re: subgroup analysis
>>> If K independent tests are conducted, one way to ensure that the overall chances of a false positive result are no greater than 5 percent (0.05) is for each test to use a criterion of (1–0.95)1/K, or about 0.05÷K, to assess statistical significance. <<<
Thanks for that, PGS. I've always wondered if there was some rule of thumb to interpret subgroup significance in trials and published research , and the one above is simple enough even for me !
It's common to see publications of data where 30 or 40 different measures are examined and a few are labelled "p<.05" , even though it's clear that some of those would be expected due to chance alone.
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