Assessing the probability that a positive report is false: an approach for molecular epidemiology studies.

By S. Wacholder, Stephen J. Chanock, M. García-Closas, Laure El ghormli, N. Rothman. Journal of the National Cancer Institute, 2004

1,133 citations recorded by the source corpus.

Subfields: Genetics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/9c2b6790809f541544fd51bf61975db04c54a745

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Citations in the corpus

Discovering the false discovery rate (2010, background): “Other papers talk about Benjamini–Hochberg 'corrections' or about 'significance' (Weisberg et al. (2003), which is the third most highly cited paper that cites Benjamini and Hochberg (1995)).”
Do Pressures to Publish Increase Scientists' Bias? An Empirical Support from US States Data (2010, background): “The probability for a study to yield a support for the tested hypothesis depends on several research-specific factors, primarily on whether the hypothesis tested is actually true and how much statistical power is available to reject the null hypothesis [38].”
An exploratory test for an excess of significant findings (2007, background): “The probability of finding a ‘positive’ result in a study is equal to the probability of a finding a true positive result plus the probability of finding a false positive result [5,36,41,42]:”
Bayesian Selection and Clustering of Polymorphisms in Functionally Related Genes (2008, neutral): “…the posterior means and variances in the N+(·) components are V (clh)γ = ( σ−20 + n∑ i=1 σ−2i x 2 iclh )−1 , E(clh)γ = V (clh)γ ( σ−20 μ0 + n∑ i=1 σ−2i xiclhỹ (clh) i ) , V (c) ψ = ( σ−21 + n∑ i=1 σ−2i x 2 ic )−1 , E (c) ψ = V (c)ψ ( σ−21 μ1 + n∑ i=1 σ−2i xicỹ (c) i ) , and the updated…”
Why Most Published Research Findings Are False (2005, positive): “As has been shown previously, the probability that a research fi nding is indeed true depends on the prior probability of it being true (before doing the study), the statistical power of the study, and the level of statistical signifi cance [10,11].”