Method and computer program for controlling the family-wise alpha rate in gene association studies involving multiple phenotypes

Genetic Epidemiology

Volumn 15, Issue 1, 1998, Pages 87-101

  Allison, David B ^a,c   Beasley, Mark ^b  

^a Columbia Univ Coll Phys Surgs ^*  (United States)

^b ST JOHN'S UNIVERSITY   (United States)

^c ST LUKE S ROOSEVELT HOSPITAL CENTER   (United States)

Author keywords

Multiple inference; Significance testing; Statistical power; Studies; Type I error rate

Indexed keywords

ARTICLE; COMPUTER PROGRAM; CONTROLLED STUDY; GENE LOCUS; GENETIC ASSOCIATION; METHODOLOGY; PHENOTYPE; STATISTICAL ANALYSIS;

ANALYSIS OF VARIANCE; CHROMOSOME MAPPING; COMPUTER SIMULATION; GENETIC DISEASES, INBORN; HUMANS; MONTE CARLO METHOD; PHENOTYPE; REPRODUCIBILITY OF RESULTS; SOFTWARE;

EID: 0031930149     PISSN: 07410395     EISSN: None     Source Type: Journal    
DOI: 10.1002/(SICI)1098-2272(1998)15:1<87::AID-GEPI7>3.0.CO;2-1     Document Type: Article

References (37)

1. Beasley M, Leitner D (1995): The p-problem with forward selection stepwise regression: Algorithm for controlling type I errors. Multiple Linear Regression Viewpoints 22:13-22.
2. Beasley TM (1994): CORRMTX: Generating correlated data matrices in SAS/IML. App Psychol Meas 18:95.
3. Caudill SP, Hill RH (1995): Multiple hypothesis tests in multiple investigations. Stat Med 14:585-589.
4. Clement K, Vaisee C, Manning BS, Basdevant A, Guy-Grand B, Ruiz J, Silver KD, Shuldiner AR, Froegel P, Strosberg AD (1995): Genetic variation in the beta 3-adrenergic receptor and increased capacity to gain weight in patients with morbid obesity. N Engl J Med 333: 352-354.
5. Fleishman AI (1978): A method for simulating non-normal distributions. Psychometrika 43:521-532.
6. Grove WM, Andreasen NC (1982): Simultaneous tests of many hypotheses in exploratory research. J Nerv Ment Dis 170:3-8.
7. Hall W, Bird K (1985): The problem of multiple inference in psychiatric research. Aust N Z J Psychiatry 19:265-274.
8. Hilsenbeck SG, Clark GM, McGuire WL (1992): Why do so many prognostic factors fail to pan out. Breast Cancer Res Treat 22:197-206.
9. Hochberg Y (1988): A sharper Bonferroni procedure for multiple tests of significance. Biometrika 75:800-802.
10. Hochberg Y, Tamhane AC (1987): "Multiple Comparison Procedures." New York: John Wiley & Sons.
11. Holm S (1979): A simple sequentially rejective multiple test procedure. Scand J Stat 6:65-70.
12. Huberty CJ, Morris JD (1989): Multivariate analysis versus multiple univariate analyses. Psychol Bull 105:302-308.
13. James S (1991): Approximate multinomial probabilities applied to correlated multiple endpoints in clinical trials. Stat Med 10:1123-1135.
14. Jemaa R, Tuzet S, Portos C, Betoulle D, Apfelbaum M, Fumeron F (1995): Lipoprotein lipase gene polymorphisms: Associations with hypertriglyceridemia and body mass index in obese people, Int J Obesity 19:270-274.
15. Kaiser HF, Dickman K (1962): Sample and population score matrices and sample correlation matrices from an arbitrary population correlation matrix. Psychometrika 27:179-182.
16. Lander E, Kruglyak L (1995): Genetic dissection of complex traits: Guidelines for interpreting and reporting linkage results. Nat Genet 11:241-249.
17. Lander E, Schork MA (1994): Genetic dissection of complex traits. Science 265:2037-2045.
18. Läuter J (1996): Exact t and F tests for analyzing studies with multiple endpoints. Biometrics 52:964-970.
19. Manly BFJ, McAlevey L, Stevens D (1986): A randomization procedure for comparing group means on multiple measurements. Br J Math Stat Psychol 39:183-189.
20. Micceri T (1989): The unicorn, the normal curve, and other improbable creatures. Psychol Bull 105:156-166.
21. Olson CL (1976): On choosing a test statistic in multivariate analysis of variance. Psychol Bull 83:579-586.
22. Pope PT, Webster JT (1972): The use of an F-statistic in stepwise regression procedures. Technometrics 14:327-340.
23. SAS Institute (1990): SAS/IML User's Guide (Release 6.04). Cary, NC: author.
24. Saville DJ (1990): Multiple comparison procedures: The practical solution. Am Stat 44:174-180.
25. Schafer WD (1993): Simultaneous inference: Objections and recommendations. Meas Eval Counsel Dev 25:146-148.
26. Sidak Z (1967): Rectangular confidence regions for the means of multivariate normal distributions. J Am Stat Assoc 62:626-633.
27. Simes RJ (1986): An improved Bonferroni procedure for multiple tests of significance. Biometrika 73:751-754.
28. Tatsuoka MM (1988): "Multivariate Analysis." New York: Macmillan.
29. Timm NH (1995): Simultaneous inference using finite intersection tests: A better mousetrap. Multivariate Behav Res 30:461-512.
30. Toothaker LE (1991): "Multiple Comparisons for Researcher." Newbury Park, CA: Sage Publications.
31. Troendle JF (1995): A stepwise resampling method of multiple hypothesis testing. J Am Stat Assoc 90:370-378.
32. Tukey J (1991): The philosophy of multiple comparisons. Statistical Science 6:100-116.
33. Walston J, Silver K, Bogardus C, Knowler WC, Celi FS, Austin S, Manning B, Strosberg AD, Stern MP, Raben N, et al. (1995): Time of onset of non-insulin-dependent diabetes mellitus and genetic variation in the beta 3-adrenergic receptor gene. N Engl J Med 333:343-347.
34. Welch B (1951): On the comparison of several mean values: An alternative approach. Biometrika 38:330-336.
35. Westfall PH, Young SS (1993a): "Resampling-Based Multiple Testing: Examples and Methods for P-Value Adjustment." New York: John Wiley & Sons.
36. Wesrfall PH, Young SS (1993b): On adjusting p-values for multiplicity. Biometrics 49:941-945.
37. Xu W, Reed DR, Ding Y, Price RA (1995): Absence of linkage between human obesity and the mouse agouti homologous region (20q11.2) or other markers spanning chromosome 20q. Obesity Res 3:559-562.