2/24/2020 · The test with the largest p-value that is less than its Benjamini-Hochberg critical value is Variable #11, which has a p-value of 0.039 and a B-H critical value of 0.040. Thus, this test and all tests with a smaller p-value will be considered significant. Note that even though Variable #17 and Variable #3 didn’t have p-values that were smaller than their B-H critical values, they are still considered to be.
The bolded p – value (for Children) is the highest p – value that is also smaller than the critical value : .042 .050.All values above it (i.e. those with lower p – values ) are highlighted and considered significant, even if those p – values are lower than the critical values .For example, Obesity and Other Health are individually, not significant when you compare the result to the final column (e.g …
Since the adjusted p – values are uniformly smaller for Hochberg ‘s method than for Holm’s method, the Hochberg method is more powerful. However, this improved power comes at the cost of having to make the assumption of independence. The Hochberg adjusted p-values are defined in reverse order as the stepdown Bonferroni: False Discovery Rate, Now I use Benjamini- Hochberg procedure to calculate adjusted p – values in R: p .adjust(pvalues, method=BH) (I can use Benjamini and Yekutieli instead for dependence, but lets skip this for now) As far as I understand, this gives me a set of q- values , that is the adjusted p – value of an individual hypothesis is the lowest level of FDR for which …
pBenjaminiHochberg = min( p * n / r , 1) where p is the original p – value , n is the number of computed p – values in total and r is the rank of the original p – value when p – values are sorted in ascending order. It should be possible to do the manipulations manually in Excel, but if you can use R, there is the p .adj function that is more …
Multiple comparisons – Handbook of Biological Statistics, Multiple comparisons – Handbook of Biological Statistics, Benjamini-Hochberg Procedure – Statistics How To, In my opinion adjusted P values are a little confusing, since they’re not really estimates of the probability ( P ) of anything. I think it’s better to give the raw P values and say which are significant using the Benjamini- Hochberg procedure with your false discovery rate, but if Benjamini- Hochberg adjusted P values are common in the …
The problem with Bonferroni, Hochberg and Holm is that they were developed for small n, e.g. n < 100. If your n is large, these methods are very conservative, so that too many null hypothesis are ...9/5/2011 · Hi Vinod, The adjusted values that are below q=0.05 (or another q-level you may choose) can be declared as significant. The same would be obtained if, instead of the p -adjustment, the FDR threshold had been calculated, in which case the p - values …
