Skip Navigation

Biometrika 2008 95(2):279-294; doi:10.1093/biomet/asn018
This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Tamhane, A. C.
Right arrow Articles by Liu, L.
Right arrow Search for Related Content
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© 2008 Biometrika Trust

Articles

On weighted Hochberg procedures

Ajit C. Tamhane

Department of Industrial Engineering, and Management Sciences, Northwestern University, 2145 Sheridan Road, Evanston, Illinois 60208, U.S.A. ajit{at}iems.northwestern.edu

Lingyun Liu

Department of Statistics, Northwestern University, 2008 Sheridan Road, Evanston, Illinois 60208, U.S.A. lingyunliu{at}northwestern.edu

Received for publication 1 March 2007. Revision received 1 December 2007.

We consider different ways of constructing weighted Hochberg-type step-up multiple test procedures including closed procedures based on weighted Simes tests and their conservative step-up short-cuts, and step-up counterparts of two weighted Holm procedures. It is shown that the step-up counterparts have some serious pitfalls such as lack of familywise error rate control and lack of monotonicity in rejection decisions in terms of p-values. Therefore an exact closed procedure appears to be the best alternative, its only drawback being lack of simple stepwise structure. A conservative step-up short-cut to the closed procedure may be used instead, but with accompanying loss of power. Simulations are used to study the familywise error rate and power properties of the competing procedures for independent and correlated p-values. Although many of the results of this paper are negative, they are useful in highlighting the need for caution when procedures with similar pitfalls may be used.

Key Words: Bonferroni test • Closed procedure • Familywise error rate • Holm procedure • Multiple comparisons • p-Value • Simes test • Step-down procedure • Step-up procedure



References

    Benjamini Y., Hochberg Y. Multiple hypothesis testing with weights. Scand. J. Statist. (1997) 24:407–18.[CrossRef]

    Dmitrienko A., Wiens B. L., Tamhane A. C., Wang X. Tree-structured gatekeeping tests in clinical trials with hierarchically ordered multiple objectives. Statist. Med. (2007) 26:2465–78.[CrossRef]

    Hochberg Y. A sharper Bonferroni procedure for multiple significance testing. Biometrika (1988) 75:800–2.[Abstract/Free Full Text]

    Hochberg Y., Liberman U. An extended Simes test. Statist. Prob. Lett. (1994) 21:101–5.[CrossRef]

    Hochberg Y., Tamhane A. C. Multiple Comparison Procedures (1987) New York: John Wiley and Sons.

    Holm S. A simple sequentially rejective multiple test procedure. Scand. J. Statist. (1979) 6:65–70.

    Hommel G. A stagewise rejective multiple test procedure based on a modified Bonferroni test. Biometrika (1988) 75:383–6.[Abstract/Free Full Text]

    Liu W. Multiple tests of a non-hierarchical finite family of hypotheses. J. R. Statist. Soc. B (1996) 58:455–61.

    Marcus R., Peritz E., Gabriel K. R. On closed testing procedures with special reference to ordered analysis of variance. Biometrika (1976) 63:655–60.[Abstract/Free Full Text]

    Rom D. A sequentially rejective test procedure based on a modified Bonferroni inequality. Biometrika (1990) 77:663–5.[Abstract/Free Full Text]

    Roth A. Multiple comparison procedures for discrete test statistics. J. Statist. Plan. Infer. (1999) 82:101–17.[CrossRef]

    Samuel-Cahn E. Is the Simes improved Bonferroni procedure conservative? Biometrika (1996) 83:928–33.[Abstract/Free Full Text]

    Sarkar S. Some probability inequalities for the ordered MTP2 random variables: A proof of the Simes conjecture. Ann. Statist. (1998) 26:494–504.[CrossRef]

    Sarkar S., Chang C. K. Simes' method for multiple hypothesis testing with positively dependent test statistics. J. Am. Statist. Assoc. (1997) 92:1601–8.[CrossRef][Web of Science]

    Simes R. J. An improved Bonferroni procedure for multiple tests of significance. Biometrika (1986) 63:655–60.[CrossRef]


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?



This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Tamhane, A. C.
Right arrow Articles by Liu, L.
Right arrow Search for Related Content
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?