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For: Staerk C, Mayr A. Randomized boosting with multivariable base-learners for high-dimensional variable selection and prediction. BMC Bioinformatics 2021;22:441. [PMID: 34530737 PMCID: PMC8447543 DOI: 10.1186/s12859-021-04340-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Accepted: 08/24/2021] [Indexed: 11/10/2022]  Open
Number Cited by Other Article(s)
1
Potts S, Bergherr E, Reinke C, Griesbach C. Prediction-based variable selection for component-wise gradient boosting. Int J Biostat 2024;20:293-314. [PMID: 38000054 DOI: 10.1515/ijb-2023-0052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Accepted: 09/18/2023] [Indexed: 11/26/2023]
2
Hans N, Klein N, Faschingbauer F, Schneider M, Mayr A. Boosting distributional copula regression. Biometrics 2023;79:2298-2310. [PMID: 36165288 DOI: 10.1111/biom.13765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 09/15/2022] [Indexed: 11/28/2022]
3
Klinkhammer H, Staerk C, Maj C, Krawitz PM, Mayr A. A statistical boosting framework for polygenic risk scores based on large-scale genotype data. Front Genet 2023;13:1076440. [PMID: 36704342 PMCID: PMC9871367 DOI: 10.3389/fgene.2022.1076440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Accepted: 12/20/2022] [Indexed: 01/12/2023]  Open
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