Weighted multiple hypothesis testing procedures

Statistical Applications in Genetics and Molecular Biology

Volumn 8, Issue 1, 2009, Pages

  Kang, Guolian ^a   Ye, Keying ^b   Liu, Nianjun ^a   Allison, David B ^a   Gao, Guimin ^a  

^a UNIVERSITY OF ALABAMA AT BIRMINGHAM   (United States)

^b UNIVERSITY OF TEXAS AT SAN ANTONIO   (United States)

Author keywords

Bonferroni procedure; Family wise error rate; id k procedure; Multiple hypothesis testing; Weight

Indexed keywords

ANALYTICAL ERROR; ARTICLE; HYPOTHESIS; PROBABILITY; STATISTICAL ANALYSIS; COMPUTER SIMULATION; GENE EXPRESSION PROFILING; GENETIC ASSOCIATION; HUMAN; LABORATORY DIAGNOSIS; METHODOLOGY; THEORETICAL MODEL;

COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; FALSE POSITIVE REACTIONS; GENE EXPRESSION PROFILING; GENOME-WIDE ASSOCIATION STUDY; HUMANS; MODELS, THEORETICAL;

EID: 67249098863     PISSN: None     EISSN: 15446115     Source Type: Journal    
DOI: 10.2202/1544-6115.1437     Document Type: Article

References (17)

1. Bonferroni, C. E. (1937). Teoria statistica delle classi e calcolo delle probabilita. In "Volume in Onore di Ricarrdo dalla Volta," Universita di Firenza, 1-62.
2. Conneely, K. N. and Boehnke, M. (2007). So many correlated tests, so little time! Rapid adjustment of p values for multiple correlated tests. Am J Hum Genet 81:1158-1168.
3. Genovese, C. R., Roeder, K. and Wasserman, L. (2006). False discovery control with p-value weighting. Biometrika 93:509-524.
4. Hochberg, Y. and Tamhane, A. C. (1987). Multiple comparison procedures. New York: Wiley.
5. Holm, S. (1979). A simple sequentially rejective multiple test procedure. Scand J Stat 6:65-70.
6. Ionita-Laza, I., McQueen, M. B., Laird, N. M. and Lange, C. (2007). Genomewide weighted hypothesis testing in family-based association studies, with an application to a 100K scan. Am J Hum Genet 81: 607-614.
7. Lin, D. Y. (2005). An efficient Monte Carlo approach to assessing statistical significance in genomic studies. Bioinformatics 21:781-787.
8. Nakagawa, S. (2004). A farewell to Bonferroni: the problems of low statistical power and publication bias. Behavioral Ecology 14:1044-1045.
9. Nyholt, D. R. (2004). A simple correction for multiple testing for single-nucleotide-polymorphisms in linkage disequilibrium with each other. Am J Hum Genet 74: 765-769.
10. Olejnik, S., Li, J. M., Huberty, C. J., Supattathum S. (1997). Multiple testing and statistical power with modified Bonferroni procedures. J Educat Behavioral Statist 22: 389-406.
11. Roeder, K., Bacanu, S., Wasserman, L., and Devlin, B. (2006). Using linkage genome scans to improve power of association scans. Am J Hum Genet 78: 243-252.
12. Roeder, K., Devlin, B. and Wasserman, L. (2007). Improving power in genome-wide association studies: weights tip the scale. Genet Epidemiol 31: 741-747.
13. Rubin, D., Dudoit, S. and van der Laan, M. J. (2006). A method to increase the power of multiple testing procedures through sample splitting. U.C. Statistical Applications in Genetics and Molecular Biology 5: article 19.
14. Scherrer, B. (1984). Biostatistique. G. Morin, Quebec, 850 pp.
15. Šidák, Z. (1967). Rectangular confidence regions for the means of multivariate normal distributions. J Am Stat Assoc 62:626-633.
16. Simes, R. J. (1986). An improved Bonferroni procedure for multiple tests of significance. Biometrika 73:751-754.
17. Wasserman, L. and Roeder, K. (2006). Weighted hypothesis testing. (http://arxiv.org/abs/math.ST/0604172) (accessed July 5, 2007)