Variable selection in linear regression models: Choosing the best subset is not always the best choice.
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| Title: | Variable selection in linear regression models: Choosing the best subset is not always the best choice. |
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| Authors: | Hanke, Moritz1 (AUTHOR) hanke@leibniz-bips.de, Dijkstra, Louis1 (AUTHOR), Foraita, Ronja1 (AUTHOR), Didelez, Vanessa1,2 (AUTHOR) |
| Source: | Biometrical Journal. Jan2024, Vol. 66 Issue 1, p1-20. 20p. |
| Database: | Mathematics Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: msf DbLabel: Mathematics Source An: 175071702 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/bimj.202200209 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 1 Titles: – TitleFull: Variable selection in linear regression models: Choosing the best subset is not always the best choice. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hanke, Moritz – PersonEntity: Name: NameFull: Dijkstra, Louis – PersonEntity: Name: NameFull: Foraita, Ronja – PersonEntity: Name: NameFull: Didelez, Vanessa IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 03233847 Numbering: – Type: volume Value: 66 – Type: issue Value: 1 Titles: – TitleFull: Biometrical Journal Type: main |
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