PublisherDOIYearVolumeIssuePageTitleAuthor(s)Link
Genomics & Informatics10.5808/gi.2016.14.4.1872016144187Multiple Group Testing Procedures for Analysis of High-Dimensional Genomic DataHyoseok Ko, Kipoong Kim, Hokeun Sunhttps://synapse.koreamed.org/pdf/10.5808/GI.2016.14.4.187, https://synapse.koreamed.org/DOIx.php?id=10.5808/GI.2016.14.4.187, https://synapse.koreamed.org/DOIx.php?id=10.5808/GI.2016.14.4.187
BMC Bioinformatics10.1186/1471-2105-9-54200891Nonparametric relevance-shifted multiple testing procedures for the analysis of high-dimensional multivariate data with small sample sizesCornelia Frömke, Ludwig A Hothorn, Siegfried Kropfhttp://link.springer.com/content/pdf/10.1186/1471-2105-9-54.pdf, http://link.springer.com/article/10.1186/1471-2105-9-54/fulltext.html, http://link.springer.com/content/pdf/10.1186/1471-2105-9-54.pdf
Computational Statistics & Data Analysis10.1016/j.csda.2017.02.01420171121-13Variable selection for high-dimensional genomic data with censored outcomes using group lasso priorKyu Ha Lee, Sounak Chakraborty, Jianguo Sunhttps://api.elsevier.com/content/article/PII:S0167947317300440?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S0167947317300440?httpAccept=text/plain
Large Sample Covariance Matrices and High-Dimensional Data Analysis10.1017/cbo9781107588080.0082015105-123Testing the General Linear Hypothesishttps://www.cambridge.org/core/services/aop-cambridge-core/content/view/31A9C64F9D7DE8981D564CA1E88A180B
BioData Mining10.1186/1756-0381-5-4201251Weighted multiple testing procedures for genomic studiesJiang Gui, Tor D Tosteson, Mark Borsukhttp://link.springer.com/article/10.1186/1756-0381-5-4/fulltext.html, http://link.springer.com/content/pdf/10.1186/1756-0381-5-4.pdf, http://link.springer.com/content/pdf/10.1186/1756-0381-5-4, http://link.springer.com/content/pdf/10.1186/1756-0381-5-4.pdf
Large Sample Covariance Matrices and High-Dimensional Data Analysis10.1017/cbo9781107588080.0092015124-139Testing Independence of Sets of Variateshttps://www.cambridge.org/core/services/aop-cambridge-core/content/view/B5D000C80CE4D9CB02E13D85F77B86D3
Computational Statistics & Data Analysis10.1016/j.csda.2005.05.006200650113324-3342Multiple testing procedures for analyzing stratified comparative clinical trials using odds ratiosK.H. Wu, M.L. Tang, K.M. Leehttps://api.elsevier.com/content/article/PII:S0167947305001258?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S0167947305001258?httpAccept=text/plain
Large Sample Covariance Matrices and High-Dimensional Data Analysis10.1017/cbo9781107588080.0102015140-171Testing Hypotheses of Equality of Covariance Matriceshttps://www.cambridge.org/core/services/aop-cambridge-core/content/view/8A51557F4A615C67BDF05C896655AD47
Computational Statistics & Data Analysis10.1016/j.csda.2010.05.0242011551110-122On power and sample size computation for multiple testing proceduresJie Chen, Jianfeng Luo, Kenneth Liu, Devan V. Mehrotrahttps://api.elsevier.com/content/article/PII:S0167947310002355?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S0167947310002355?httpAccept=text/plain
Abel Symposia10.1007/978-3-319-27099-9_3201637-66Preselection in Lasso-Type Analysis for Ultra-High Dimensional Genomic ExplorationLinn Cecilie Bergersen, Ismaïl Ahmed, Arnoldo Frigessi, Ingrid K. Glad, Sylvia Richardsonhttp://link.springer.com/content/pdf/10.1007/978-3-319-27099-9_3