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

ABSTRACT: 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 but also on both the prior probability that the association between the genetic variant and the disease is real and the statistical power of the test. In this commentary, we show how to assess the FPRP and how to use it to decide whether a finding is deserving of attention or "noteworthy." We show ho

SUBMITTER: Wacholder S 

PROVIDER: S-EPMC7713993 | biostudies-literature | 2004 Mar

REPOSITORIES: biostudies-literature