Distributed Data Analysis Based on Single Index Model.
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| Title: | Distributed Data Analysis Based on Single Index Model. |
|---|---|
| Authors: | Jingcheng Xian1 xianjc0602@163.com, Cheng Wang2 chenw0808@163.com, Guangbao Guo3 ggb11111111@163.com |
| Source: | IAENG International Journal of Computer Science. Jul2025, Vol. 52 Issue 7, p2289-2294. 6p. |
| Subjects: | Distributed databases, Clinical trials |
| Abstract: | Amid randomized clinical trial data analysis, this article propose a distributed data analysis approach based on a single-index model that uniquely estimates the interaction between pre-processing covariates and treatment variables on the response variable. The method represents the interaction effects of the model via a set of therapy-specific adaptive link functions that act on a linear mixture of covariates (i.e., a single index) while satisfying the limitation that the expected value of the covariates is zero, while the primary effects of the covariates remain unspecified. By uniquely estimating the interaction effects between pre-processing covariates and treatment variables, we can optimize personalized treatment rules to improve clinical treatment outcomes. [ABSTRACT FROM AUTHOR] |
| Copyright of IAENG International Journal of Computer Science is the property of International Association of Engineers (IAENG) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 186324260 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Distributed Data Analysis Based on Single Index Model. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Jingcheng+Xian%22">Jingcheng Xian</searchLink><relatesTo>1</relatesTo><i> xianjc0602@163.com</i><br /><searchLink fieldCode="AR" term="%22Cheng+Wang%22">Cheng Wang</searchLink><relatesTo>2</relatesTo><i> chenw0808@163.com</i><br /><searchLink fieldCode="AR" term="%22Guangbao+Guo%22">Guangbao Guo</searchLink><relatesTo>3</relatesTo><i> ggb11111111@163.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22IAENG+International+Journal+of+Computer+Science%22">IAENG International Journal of Computer Science</searchLink>. Jul2025, Vol. 52 Issue 7, p2289-2294. 6p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Distributed+databases%22">Distributed databases</searchLink><br /><searchLink fieldCode="DE" term="%22Clinical+trials%22">Clinical trials</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Amid randomized clinical trial data analysis, this article propose a distributed data analysis approach based on a single-index model that uniquely estimates the interaction between pre-processing covariates and treatment variables on the response variable. The method represents the interaction effects of the model via a set of therapy-specific adaptive link functions that act on a linear mixture of covariates (i.e., a single index) while satisfying the limitation that the expected value of the covariates is zero, while the primary effects of the covariates remain unspecified. By uniquely estimating the interaction effects between pre-processing covariates and treatment variables, we can optimize personalized treatment rules to improve clinical treatment outcomes. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of IAENG International Journal of Computer Science is the property of International Association of Engineers (IAENG) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=186324260 |
| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 6 StartPage: 2289 Subjects: – SubjectFull: Distributed databases Type: general – SubjectFull: Clinical trials Type: general Titles: – TitleFull: Distributed Data Analysis Based on Single Index Model. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Jingcheng Xian – PersonEntity: Name: NameFull: Cheng Wang – PersonEntity: Name: NameFull: Guangbao Guo IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 1819656X Numbering: – Type: volume Value: 52 – Type: issue Value: 7 Titles: – TitleFull: IAENG International Journal of Computer Science Type: main |
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