Protocol for evaluating the cost-effectiveness of Mongolia's sugar-sweetened beverages tax using double machine learning.
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| Title: | Protocol for evaluating the cost-effectiveness of Mongolia's sugar-sweetened beverages tax using double machine learning. |
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| Authors: | Byambadorj, Nyamdavaa1 (AUTHOR) dibo.byambadorj@mq.edu.au, Best, Rohan1 (AUTHOR), Mandakh, Undram2 (AUTHOR), Sinha, Kompal1 (AUTHOR) |
| Source: | PLoS ONE. 6/10/2025, Vol. 20 Issue 6, p1-12. 12p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 185837942 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Protocol for evaluating the cost-effectiveness of Mongolia's sugar-sweetened beverages tax using double machine learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Byambadorj%2C+Nyamdavaa%22">Byambadorj, Nyamdavaa</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> dibo.byambadorj@mq.edu.au</i><br /><searchLink fieldCode="AR" term="%22Best%2C+Rohan%22">Best, Rohan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mandakh%2C+Undram%22">Mandakh, Undram</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sinha%2C+Kompal%22">Sinha, Kompal</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22PLoS+ONE%22">PLoS ONE</searchLink>. 6/10/2025, Vol. 20 Issue 6, p1-12. 12p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=185837942 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pone.0324378 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 1 Titles: – TitleFull: Protocol for evaluating the cost-effectiveness of Mongolia's sugar-sweetened beverages tax using double machine learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Byambadorj, Nyamdavaa – PersonEntity: Name: NameFull: Best, Rohan – PersonEntity: Name: NameFull: Mandakh, Undram – PersonEntity: Name: NameFull: Sinha, Kompal IsPartOfRelationships: – BibEntity: Dates: – D: 10 M: 06 Text: 6/10/2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 19326203 Numbering: – Type: volume Value: 20 – Type: issue Value: 6 Titles: – TitleFull: PLoS ONE Type: main |
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