Semi-Bayes and empirical Bayes adjustment methods for multiple comparisons;Metodi di correzione Semi-Bayesiani e Bayesiani empirici per confronti multipli

Epidemiologia e Prevenzione

Volumn 32, Issue 2, 2008, Pages 108-110

  Corbin, Marine ^a,b   Maule, Milena ^a   Richiardi, Lorenzo ^a   Simonato, Lorenzo ^c   Merletti, Franco ^a   Pearce, Neil ^d  

^a UNIVERSITY OF TURIN   (Italy)

^b ENSAI Ecole Nationale de la Statistique et de lAnalyse de lInformation   (France)

^c UNIVERSITY OF PADOVA   (Italy)

^d MASSEY UNIVERSITY   (New Zealand)

Author keywords

Bayesian methods; Exploratory analysis; Multiple comparisons

Indexed keywords

ARTICLE; BAYES THEOREM; EPIDEMIOLOGY; STATISTICS;

BAYES THEOREM; EPIDEMIOLOGY;

EID: 54449094832     PISSN: 11209763     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (8)

1. Steenland K, Bray I, Greenland S, Boffètta P. Empirical Bayes adjustments for multiple results in hypothesis-generating or surveillance studies. Cancer Epidemiol Biomarken Aro 2000;9:895-903.
2. Feise RJ. Do multiple outcome measures require p-value adjustment? BMC Med Res Methodol 2002;2:8.
3. Perneger TV. What's wrong with Bonferroni adjustments. BMJ 1998;316:1236-38.
4. Greenland S. Principles of multilevel modelling. Int J Epidemiol 2000;29:158-167.
5. Richiardi L, Boffètta P, Simonato L, et al. Occupational risk factors for lung cancer in men and women: a population-based case-control study in Italy. Cancer Causes Contml 2004;15:285-94.
6. International Standard Classification of Occupation. Geneva: International Labour Office, 1968.
7. International Standard Industrial Classification. New Yorlc United Nations Publications (ST/STAT/M.4/Rev. 2/Add. 1, Sales No.: E.71. XVII.8), Publishing Service United Nations, 1971.
8. Rothman KJ. No adjustments are needed for multiple comparisons. Epidemiology 1990;1:43-6.