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Items: 1 to 20 of 186

1.

Weighted multiple hypothesis testing procedures.

Kang G, Ye K, Liu N, Allison DB, Gao G.

Stat Appl Genet Mol Biol. 2009;8:Article23. doi: 10.2202/1544-6115.1437. Epub 2009 Apr 16.

2.
3.

A generalized Sidak-Holm procedure and control of generalized error rates under independence.

Guo W, Romano J.

Stat Appl Genet Mol Biol. 2007;6:Article3. Epub 2007 Jan 25.

PMID:
17402918
4.

Multiple comparison procedures updated.

Ludbrook J.

Clin Exp Pharmacol Physiol. 1998 Dec;25(12):1032-7. Review.

PMID:
9888002
5.

A method to increase the power of multiple testing procedures through sample splitting.

Rubin D, Dudoit S, van der Laan M.

Stat Appl Genet Mol Biol. 2006;5:Article19. Epub 2006 Aug 1.

PMID:
17049030
6.

A weighted-Holm procedure accounting for allele frequencies in genomewide association studies.

Dalmasso C, Génin E, Trégouet DA.

Genetics. 2008 Sep;180(1):697-702. doi: 10.1534/genetics.108.089839. Epub 2008 Aug 24.

7.

Weighted multiple testing correction for correlated tests.

Xie C.

Stat Med. 2012 Feb 20;31(4):341-52. doi: 10.1002/sim.4434. Epub 2011 Nov 23.

PMID:
22114000
8.

A Generalized Sequential Bonferroni Procedure for GWAS in Admixed Populations Incorporating Admixture Mapping Information into Association Tests.

Chen W, Ren C, Qin H, Archer KJ, Ouyang W, Liu N, Chen X, Luo X, Zhu X, Sun S, Gao G.

Hum Hered. 2015;79(2):80-92. doi: 10.1159/000381474. Epub 2015 Jun 13.

9.

A generalized sequential Bonferroni procedure using smoothed weights for genome-wide association studies incorporating information on Hardy-Weinberg disequilibrium among cases.

Gao G, Kang G, Wang J, Chen W, Qin H, Jiang B, Li Q, Sun C, Liu N, Archer KJ, Allison DB.

Hum Hered. 2012;73(1):1-13. doi: 10.1159/000332916. Epub 2011 Dec 30.

10.

Data-driven hypothesis weighting increases detection power in genome-scale multiple testing.

Ignatiadis N, Klaus B, Zaugg JB, Huber W.

Nat Methods. 2016 Jul;13(7):577-80. doi: 10.1038/nmeth.3885. Epub 2016 May 30.

11.

Compatible simultaneous lower confidence bounds for the Holm procedure and other Bonferroni-based closed tests.

Strassburger K, Bretz F.

Stat Med. 2008 Oct 30;27(24):4914-27. doi: 10.1002/sim.3338.

PMID:
18618415
12.

Selection of hypothesis weights and ordering when testing multiple hypotheses in clinical trials.

Wiens BL, Dmitrienko A, Marchenko O.

J Biopharm Stat. 2013;23(6):1403-19. doi: 10.1080/10543406.2013.834920.

PMID:
24138439
13.
14.

On generalized fixed sequence procedures for controlling the FWER.

Qiu Z, Guo W, Lynch G.

Stat Med. 2015 Dec 30;34(30):3968-83. doi: 10.1002/sim.6603. Epub 2015 Jul 30.

PMID:
26228241
15.

Multiple testing procedures in two pivotal clinical trials for approval of a new pharmaceutical product.

Wiens BL.

J Biopharm Stat. 2011 Jul;21(4):669-81. doi: 10.1080/10543406.2011.551330.

PMID:
21516563
16.

Using eQTL weights to improve power for genome-wide association studies: a genetic study of childhood asthma.

Li L, Kabesch M, Bouzigon E, Demenais F, Farrall M, Moffatt MF, Lin X, Liang L.

Front Genet. 2013 May 31;4:103. doi: 10.3389/fgene.2013.00103. eCollection 2013.

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18.

Optimized multi-stage designs controlling the false discovery or the family-wise error rate.

Zehetmayer S, Bauer P, Posch M.

Stat Med. 2008 Sep 20;27(21):4145-60. doi: 10.1002/sim.3300.

PMID:
18444249
19.

Power and type I error rate of false discovery rate approaches in genome-wide association studies.

Yang Q, Cui J, Chazaro I, Cupples LA, Demissie S.

BMC Genet. 2005 Dec 30;6 Suppl 1:S134.

20.

Graphical approaches using a Bonferroni mixture of weighted Simes tests.

Lu K.

Stat Med. 2016 Sep 30;35(22):4041-55. doi: 10.1002/sim.6985. Epub 2016 May 25.

PMID:
27226068

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