Combining probability from independent tests: the weighted Z‐method is superior to Fisher's approach
By M. Whitlock. Journal of Evolutionary Biology, 2005
808 citations recorded by the source corpus.
Subfields: Ecology, Evolution, Behavior and Systematics, Genetics
View Paper: https://www.semanticscholar.org/paper/ecae6e0af4964064cbb23f8cc228a02f681ddbc5
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology, Evolution, Behavior and Systematics
- K. van Eijk
- Larry Feinstein
- O. Valverde‐Barrantes
- Steve Horvath
- Richard E. Lenski
- Peter Langfelder
- René S. Kahn
- Roel A. Ophoff
In Genetics
- Steve Horvath
- Peter Langfelder
- K. van Eijk
- Larry Feinstein
- O. Valverde‐Barrantes
- Richard E. Lenski
- René S. Kahn
- Roel A. Ophoff
Citations in the corpus
- INVITED REVIEW: What is a population? An empirical evaluation of some genetic methods for identifying the number of gene pools and their degree of connectivity (2006, methodology): “…genetic data might want to consider the standard method of summing chi-square values across loci (Ryman & Jorde 2001), a multilocus generalization of Goudet et al.’s G-test implemented by Petit et al. (2001), or the weighted Z-method for combining probabilities described by Whitlock (2005).”
- Genome-wide association study of circulating vitamin D levels (2010, neutral): “We conducted the metaanalysis of the GWASs, and of the GWAS and replication studies combined, by averaging the signed Wald statistics weighted by the square root of the corresponding sample sizes; this analysis is robust to differences in scale across different techniques for measuring circulating 2”
- The distribution of below‐ground traits is explained by intrinsic species differences and intraspecific plasticity in response to root neighbours (2013, methodology): “using Stouffer’s method (Whitlock 2005) to combine P-values from all plots.”
- Aging effects on DNA methylation modules in human brain and blood tissue (2012, methodology): “Given methylation (or other) data from multiple independent data sets, and the corresponding ages, the function was used to calculate Stouffer’s meta-analysis Z statistics (reviewed in [39]), P-values, and corresponding q-values (local false discovery rates) [40].”
- Historical contingency and the evolution of a key innovation in an experimental population of Escherichia coli (2008, positive): “We also used the Z-transformation method (49) to combine the probabilities from our three experiments, and the result is extremely significant (P & 0.”