The limits of p-values for biological data mining

BioData Mining

Volumn 6, Issue 1, 2013, Pages

  Malley, James D ^a   Dasgupta, Abhijit ^b   Moore, Jason H ^c,d  

^a NATIONAL INSTITUTES OF HEALTH   (United States)

^b NATIONAL INSTITUTE OF ARTHRITIS AND MUSCULOSKELETAL AND SKIN DISEASES   (United States)

^c Institute for Quantitative Biomedical Sciences   (United States)

^d DARTMOUTH MEDICAL SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYES THEOREM; DATA MINING; EDITORIAL; FALSE NEGATIVE RESULT; FALSE POSITIVE RESULT; GENETIC VARIABILITY; HUMAN; MEDICAL RESEARCH; PRIORITY JOURNAL; QUANTUM MECHANICS; STATISTICAL SIGNIFICANCE;

EID: 84877302617     PISSN: None     EISSN: 17560381     Source Type: Journal    
DOI: 10.1186/1756-0381-6-10     Document Type: Editorial

References (3)

1. A dirty dozen: Twelve p-value misconceptions. Goodman S, Semin Hematol 2008 48 135 140 (Pubitemid 351876117)
2. Null misinterpretation in statistical testing and its impact on health risk assessment. Greenland S, Prev Med 2011 53 225 228 10.1016/j.ypmed.2011.08. 010 21871481
3. No adjustments are needed for multiple comparisons. Rothman KJ, Epidemiol 1990 1 43 46 10.1097/00001648-199001000-00010 (Pubitemid 20255621)