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

@article{Wacholder2004AssessingTP,
  title={Assessing the probability that a positive report is false: an approach for molecular epidemiology studies.},
  author={Sholom Wacholder and Stephen J. Chanock and Montserrat Garc{\'i}a-Closas and Laure El ghormli and Nathaniel Rothman},
  journal={Journal of the National Cancer Institute},
  year={2004},
  volume={96 6},
  pages={434-42}
}
Too many reports of associations between genetic variants and common cancer sites and other complex diseases are false positives. A major reason for this unfortunate situation is the strategy of declaring statistical significance based on a P value alone, particularly, any P value below.05. The false positive report probability (FPRP), the probability of no true association between a genetic variant and disease given a statistically significant finding, depends not only on the observed P value… CONTINUE READING
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Assessing the probability that a positive report is false : an approach for molecular epidemiology studies

  • S Wacholder, S Chanock, M Garcia-Closas, L ElGhormli, N Rothman
  • J Natl Cancer Inst
  • 2004

Inference issues in cohort and case - control studies of genetic effects and geneenvironment interactions

  • M García-Closas, S Wacholder, N Caporaso, N Rothman
  • Human genome epidemiology : a scientific…
  • 2004

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