Truncated product method for combining P‐values
By Dmitri V. Zaykin, Lev A. Zhivotovsky, Peter Westfall, Bruce S. Weir. 2002
555 citations recorded by the source corpus.
Subfields: Genetics
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In Genetics
- Jelle J. Goeman
- Aldo Solari
- Sharon R. Browning
- B. E. Madsen
- Pak Chung Sham
- Dylan S. Small
- Mark Rubin
- Brian L. Browning
Citations in the corpus
- Effect Modification and Design Sensitivity in Observational Studies (2013, methodology): “…≤ 0.05/2 = 0.025, and in this case, P∧ ≤ 0.025 and ∏L =1 P ≤ 0.025; however, Fisher’s method gives p-value 0.1172 if ∏L =1 P = 0.025, whereas the method of Zaykin et al. (2002) gives p-value 0.05 if P∧ = 0.025, so P∧ rejects whenever the Bonferroni inequality rejects and would also reject if P1…”
- A Groupwise Association Test for Rare Mutations Using a Weighted Sum Statistic (2009, methodology): “uniformly(0,1) distributed under the nullhypothesis, T is x(2)-distributed with 2G degrees of freedom, and can be evaluated accordingly [42,43].”
- GATES: a rapid and powerful gene-based association test using extended Simes procedure. (2011, methodology): “A variant of the Fisher’s method is the truncated-product p value method,(14) which was originally developed to deal with ‘‘publication bias’’ in meta-analysis.(15) However, like the Fisher’s combinationmethod, this test is also sensitive to LD among the SNPs in a gene and therefore requires a permu”
- Interspecific variation in avian blood parasites and haematology associated with urbanization in a desert habitat (2008, background): “Multiple univariate comparisons (n 5) of hematological variables necessitated the re-adjustment of alpha levels (Zaykin et al. 2002).”
- Multiple Testing for Exploratory Research (2011, methodology): “The literature on shortcuts in the closed testing procedure has been focused mainly on consonant procedures, and on finding the rejected individual hypotheses (Grechanovsky and Hochberg, 1999; Zaykin et al., 2002; Hommel, Bretz and Maurer, 2007; Bittman et al., 2009; Brannath and Bretz, 2010).”
- Arguments for rejecting the sequential Bonferroni in ecological studies (2003, background): “The basic problem is that when multiple tests are undertaken, each at the same significance level ( ), the probability of achieving at least one significant result is greater than that significance level (Zaykin et al. 2002).”