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Items: 1 to 20 of 152

1.

Efficient p-value evaluation for resampling-based tests.

Yu K, Liang F, Ciampa J, Chatterjee N.

Biostatistics. 2011 Jul;12(3):582-93. doi: 10.1093/biostatistics/kxq078. Epub 2011 Jan 5.

2.

Efficient Monte Carlo evaluation of resampling-based hypothesis tests with applications to genetic epidemiology.

Fung WK, Yu K, Yang Y, Zhou JY.

Stat Methods Med Res. 2018 May;27(5):1437-1450. doi: 10.1177/0962280216661876. Epub 2016 Aug 8.

PMID:
27507290
3.

Rapid and robust resampling-based multiple-testing correction with application in a genome-wide expression quantitative trait loci study.

Zhang X, Huang S, Sun W, Wang W.

Genetics. 2012 Apr;190(4):1511-20. doi: 10.1534/genetics.111.137737. Epub 2012 Jan 31.

4.

MAX-rank: a simple and robust genome-wide scan for case-control association studies.

Li Q, Yu K, Li Z, Zheng G.

Hum Genet. 2008 Jul;123(6):617-23. doi: 10.1007/s00439-008-0514-8. Epub 2008 May 20.

PMID:
18491142
5.
6.

A Bayesian approach to efficient differential allocation for resampling-based significance testing.

Jensen ST, Soi S, Wang LS.

BMC Bioinformatics. 2009 Jun 28;10:198. doi: 10.1186/1471-2105-10-198.

7.

Gumbel based p-value approximations for spatial scan statistics.

Abrams AM, Kleinman K, Kulldorff M.

Int J Health Geogr. 2010 Dec 17;9:61. doi: 10.1186/1476-072X-9-61.

8.

Efficient simulation of P values for linkage analysis.

Song KK, Weeks DE, Sobel E, Feingold E.

Genet Epidemiol. 2004 Feb;26(2):88-96.

PMID:
14748008
9.

Fast approximation of small p-values in permutation tests by partitioning the permutations.

Segal BD, Braun T, Elliott MR, Jiang H.

Biometrics. 2018 Mar;74(1):196-206. doi: 10.1111/biom.12731. Epub 2017 May 18.

PMID:
29542118
10.

A brief introduction to computer-intensive methods, with a view towards applications in spatial statistics and stereology.

Mattfeldt T.

J Microsc. 2011 Apr;242(1):1-9. doi: 10.1111/j.1365-2818.2010.03452.x. Epub 2010 Nov 18. Review.

11.

Efficient p-value estimation in massively parallel testing problems.

Kustra R, Shi X, Murdoch DJ, Greenwood CM, Rangrej J.

Biostatistics. 2008 Oct;9(4):601-12. doi: 10.1093/biostatistics/kxm053. Epub 2008 Feb 27.

12.

Resampling-based multiple hypothesis testing procedures for genetic case-control association studies.

Chen BE, Sakoda LC, Hsing AW, Rosenberg PS.

Genet Epidemiol. 2006 Sep;30(6):495-507.

PMID:
16755536
13.

On testing an unspecified function through a linear mixed effects model with multiple variance components.

Wang Y, Chen H.

Biometrics. 2012 Dec;68(4):1113-25. doi: 10.1111/j.1541-0420.2012.01790.x. Epub 2012 Sep 28.

14.

IndOR: a new statistical procedure to test for SNP-SNP epistasis in genome-wide association studies.

Emily M.

Stat Med. 2012 Sep 20;31(21):2359-73. doi: 10.1002/sim.5364. Epub 2012 Jun 18.

PMID:
22711278
15.

Genetic studies of complex human diseases: characterizing SNP-disease associations using Bayesian networks.

Han B, Chen XW, Talebizadeh Z, Xu H.

BMC Syst Biol. 2012;6 Suppl 3:S14. doi: 10.1186/1752-0509-6-S3-S14. Epub 2012 Dec 17.

16.

Bootstrap confidence intervals for cost-effectiveness ratios: some simulation results.

Tambour M, Zethraeus N.

Health Econ. 1998 Mar;7(2):143-7.

PMID:
9565170
17.

Avoiding the high Bonferroni penalty in genome-wide association studies.

Gao X, Becker LC, Becker DM, Starmer JD, Province MA.

Genet Epidemiol. 2010 Jan;34(1):100-5. doi: 10.1002/gepi.20430.

18.

Bayesian phylogeny analysis via stochastic approximation Monte Carlo.

Cheon S, Liang F.

Mol Phylogenet Evol. 2009 Nov;53(2):394-403. doi: 10.1016/j.ympev.2009.06.019. Epub 2009 Jul 7.

PMID:
19589389
19.

Resampling-based tests for Lasso in genome-wide association studies.

Arbet J, McGue M, Chatterjee S, Basu S.

BMC Genet. 2017 Jul 24;18(1):70. doi: 10.1186/s12863-017-0533-3.

20.

A spatial scan statistic for ordinal data.

Jung I, Kulldorff M, Klassen AC.

Stat Med. 2007 Mar 30;26(7):1594-607.

PMID:
16795130

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