SDMinP: A program to control the family wise error rate using step-down minP adjusted P-values

Bioinformatics

Volumn 21, Issue 14, 2005, Pages 3183-3184

  Obreiter, M ^a   Fischer, C ^b   Chang Claude, J ^a   Beckmann, L ^a  

^a GERMAN CANCER RESEARCH CENTER DKFZ   (Germany)

^b UNIVERSITY OF HEIDELBERG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ANALYTICAL ERROR; ARTICLE; CALCULATION; COMPUTER PROGRAM; CORRELATION ANALYSIS; EMPIRICAL RESEARCH; EXPERIMENTAL DESIGN; FEASIBILITY STUDY; PRIORITY JOURNAL; STATISTICAL ANALYSIS; STATISTICAL CONCEPTS; BIOLOGICAL MODEL; COMPUTER SIMULATION; SAMPLE SIZE;

ALGORITHMS; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; MODELS, BIOLOGICAL; SAMPLE SIZE; SOFTWARE;

EID: 25144457098     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/bti480     Document Type: Article

References (5)

1. Becker,T. and Knapp,M. (2004) A powerful strategy to account for multiple testing in the context of haplotype analysis. Am. J. Hum. Genet., 75, 561-570.
2. Beckmann,L. et al. (2004) Analysis of multiple error rates in haplotype-based association studies. In Proceedings of the 54th Annual Meeting on Abstracts of The American Society of Human Genetics.
3. Ge,Y. et al. (2003) Resampling-based multiple testing for microarray data analysis, Test, 12, 1-77.
4. Development Core Team (2004) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.
5. Westfall,P.H. and Young,S.S. (1993) Resampling-based Multiple Testing: Examples and Methods for P-value Adjustment. John Wiley & Sons, New York.