Estimating the number of true null hypotheses from a histogram of p values
By Dan Nettleton, J. T. G. Hwang, Rico A. Caldo, Roger P. Wise. 2006
153 citations recorded by the source corpus.
Subfields: Genetics, Molecular Biology, Plant Science
View Paper: https://www.semanticscholar.org/paper/eab669a51f7a7321092998cc79150d306d708647
How researchers see this paper
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In Genetics
- Charity W. Law
- Wei Shi
- Diabetes-Ling Wu
- Matthew E. Ritchie
- Belinda Phipson
- Gordon K. Smyth
- Yifang Hu
- Jelle J. Goeman
In Molecular Biology
- Gordon K. Smyth
- Wei Shi
- Charity W. Law
- Belinda Phipson
- Matthew E. Ritchie
- Diabetes-Ling Wu
- Yifang Hu
- Aaron T. L. Lun
In Plant Science
Citations in the corpus
- Simultaneous control of all false discovery proportions in large-scale multiple hypothesis testing (2016, background): “There is extensive and growing literature on sufficient conditions for the Simes inequality, which we will not revisit here (Benjamini and Yekutieli, 2001; Rødland, 2006; Sarkar, 2008; Finner et al., 2014; Bodnar and Dickhaus, 2017).”
- limma powers differential expression analyses for RNA-sequencing and microarray studies (2015, methodology): “Other methods are the histogram method of [41, 42], the convex decreasing density estimate of [22], and a very simple estimate based on averaging the p-values.”