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Cited by in F6Publishing
For: He K, Li Y, Zhu J, Liu H, Lee JE, Amos CI, Hyslop T, Jin J, Lin H, Wei Q, Li Y. Component-wise gradient boosting and false discovery control in survival analysis with high-dimensional covariates. Bioinformatics 2016;32:50-7. [PMID: 26382192 DOI: 10.1093/bioinformatics/btv517] [Cited by in Crossref: 3] [Cited by in F6Publishing: 7] [Article Influence: 0.4] [Reference Citation Analysis]
Number Citing Articles
1 Wu M, Zang Y, Zhang S, Huang J, Ma S. Accommodating missingness in environmental measurements in gene-environment interaction analysis. Genet Epidemiol 2017;41:523-54. [PMID: 28657194 DOI: 10.1002/gepi.22055] [Cited by in Crossref: 7] [Cited by in F6Publishing: 6] [Article Influence: 1.4] [Reference Citation Analysis]
2 Song X, Waitman LR, Yu AS, Robbins DC, Hu Y, Liu M. Longitudinal Risk Prediction of Chronic Kidney Disease in Diabetic Patients Using a Temporal-Enhanced Gradient Boosting Machine: Retrospective Cohort Study. JMIR Med Inform 2020;8:e15510. [PMID: 32012067 DOI: 10.2196/15510] [Cited by in Crossref: 8] [Cited by in F6Publishing: 6] [Article Influence: 4.0] [Reference Citation Analysis]
3 Song X, Waitman LR, Hu Y, Yu ASL, Robbins DC, Liu M. Robust clinical marker identification for diabetic kidney disease with ensemble feature selection. J Am Med Inform Assoc 2019;26:242-53. [PMID: 30602020 DOI: 10.1093/jamia/ocy165] [Cited by in Crossref: 17] [Cited by in F6Publishing: 10] [Article Influence: 5.7] [Reference Citation Analysis]
4 Lin YC, Keenan K, Gong J, Panjwani N, Avolio J, Lin F, Adam D, Barrett P, Bégin S, Berthiaume Y, Bilodeau L, Bjornson C, Brusky J, Burgess C, Chilvers M, Consunji-Araneta R, Côté-Maurais G, Dale A, Donnelly C, Fairservice L, Griffin K, Henderson N, Hillaby A, Hughes D, Iqbal S, Itterman J, Jackson M, Karlsen E, Kosteniuk L, Lazosky L, Leung W, Levesque V, Maille É, Mateos-Corral D, McMahon V, Merjaneh M, Morrison N, Parkins M, Pike J, Price A, Quon BS, Reisman J, Smith C, Smith MJ, Vadeboncoeur N, Veniott D, Viczko T, Wilcox P, van Wylick R, Cutting G, Tullis E, Ratjen F, Rommens JM, Sun L, Solomon M, Stephenson AL, Brochiero E, Blackman S, Corvol H, Strug LJ. Cystic fibrosis-related diabetes onset can be predicted using biomarkers measured at birth. Genet Med 2021;23:927-33. [PMID: 33500570 DOI: 10.1038/s41436-020-01073-x] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 He K, Zhou X, Jiang H, Wen X, Li Y. False discovery control for penalized variable selections with high-dimensional covariates. Stat Appl Genet Mol Biol 2018;17:/j/sagmb. [PMID: 30864387 DOI: 10.1515/sagmb-2018-0038] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
6 Song X, Liu M, Waitman LR, Patel A, Simpson SQ. Clinical factors associated with rapid treatment of sepsis. PLoS One 2021;16:e0250923. [PMID: 33956846 DOI: 10.1371/journal.pone.0250923] [Reference Citation Analysis]
7 Yin QY, Li JL, Zhang CX. Ensembling Variable Selectors by Stability Selection for the Cox Model. Comput Intell Neurosci 2017;2017:2747431. [PMID: 29270195 DOI: 10.1155/2017/2747431] [Cited by in Crossref: 6] [Cited by in F6Publishing: 3] [Article Influence: 1.2] [Reference Citation Analysis]
8 He K, Kang J, Hong HG, Zhu J, Li Y, Lin H, Xu H, Li Y. Covariance-Insured Screening. Comput Stat Data Anal 2019;132:100-14. [PMID: 30880853 DOI: 10.1016/j.csda.2018.09.001] [Cited by in Crossref: 3] [Article Influence: 1.0] [Reference Citation Analysis]