Hello fellow SPSS users. I am using the following tech note for FDR correction implementation: although it provides the technical basis for the correction, it does not offer any theoretical background. Does anybody have some info regarding the rationale behind the BH FDR? any...
method指定矫正用的方法。可以用的方法可以通过运行“p.adjust.methods ”来查看,有: Bonferroni correction ("bonferroni") ,Holm (1979) ("holm"), Hochberg (1988) ("hochberg"), Hommel (1988) ("hommel") and Benjamini & Hochberg (1995) ("fdr"或“BH”) n为比较次数 实例: # BH方法p<-c(0.020...
Then, we iterate over the list, calculating what I have been interpreting as "the FDR expected if we were to reject the null hypothesis for this and all tests prior in the list," using the B-H correction, with an alpha equal to the observed, un-corrected p-value for t...
FDR is generally a somewhat less conservative/more powerful method for correcting for multiple comparisons than procedures like Bonferroni correction that provide strong control of the family-wise error rate (i.e., the probability that one or more null hypotheses are mistakenly rejected). This ...
To find interesting items in genome-wide association studies or next generation sequencing data, a crucial point is to design powerful false discovery rate (FDR) controlling procedures that suitably combine discrete tests (typically binomial or Fisher tests). In particular, recent research has been st...
a Bonferroni correction or the less conservative Bonferroni-Holm correction or to correct for the "false discovery rate" with a Benjamini-Hochberg correction... K Lesack,C Naugler - 《Journal of Pathology Informatics》 被引量: 57发表: 2011年 Adaptive Choice of the Number of Bootstrap Samples ...
The Benjamini–Hochberg method controls the False Discovery Rate (FDR) using sequential modified Bonferroni correction for multiple hypothesis testing. While the Bonferroni correction relies on the Family Wise Error Rate (FWER), Benjamini and Hochberg introduced the idea of a FDR to control for multipl...