Estimating area under the curve from graph-derived summary data: a systematic comparison of standard and Monte Carlo approaches.
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| Title: | Estimating area under the curve from graph-derived summary data: a systematic comparison of standard and Monte Carlo approaches. |
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| Authors: | Titensor S; Department of Physics and Astronomy, Brigham Young University, Provo, UT, 84602, USA., Ebbert J; Department of Physics and Astronomy, Brigham Young University, Provo, UT, 84602, USA., Corte KD; Department of Nutrition, Dietetics, and Food Science, Brigham Young University, Provo, UT, 84602, USA., Corte DD; Department of Physics and Astronomy, Brigham Young University, Provo, UT, 84602, USA. Dennis.DellaCorte@byu.edu. |
| Source: | BMC medical research methodology [BMC Med Res Methodol] 2025 Aug 22; Vol. 25 (1), pp. 197. Date of Electronic Publication: 2025 Aug 22. |
| Publication Type: | Journal Article; Comparative Study |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2288 (Electronic) Linking ISSN: 14712288 NLM ISO Abbreviation: BMC Med Res Methodol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40846904 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Estimating area under the curve from graph-derived summary data: a systematic comparison of standard and Monte Carlo approaches. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Titensor+S%22">Titensor S</searchLink>; Department of Physics and Astronomy, Brigham Young University, Provo, UT, 84602, USA.<br /><searchLink fieldCode="AU" term="%22Ebbert+J%22">Ebbert J</searchLink>; Department of Physics and Astronomy, Brigham Young University, Provo, UT, 84602, USA.<br /><searchLink fieldCode="AU" term="%22Corte+KD%22">Corte KD</searchLink>; Department of Nutrition, Dietetics, and Food Science, Brigham Young University, Provo, UT, 84602, USA.<br /><searchLink fieldCode="AU" term="%22Corte+DD%22">Corte DD</searchLink>; Department of Physics and Astronomy, Brigham Young University, Provo, UT, 84602, USA. Dennis.DellaCorte@byu.edu. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22100968545%22">BMC medical research methodology</searchLink> [BMC Med Res Methodol] 2025 Aug 22; Vol. 25 (1), pp. 197. <i>Date of Electronic Publication: </i>2025 Aug 22. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Comparative Study – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>100968545 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1471-2288 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214712288%22">14712288 </searchLink><i>NLM ISO Abbreviation: </i>BMC Med Res Methodol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40846904 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/s12874-025-02645-8 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 197 Titles: – TitleFull: Estimating area under the curve from graph-derived summary data: a systematic comparison of standard and Monte Carlo approaches. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Titensor S – PersonEntity: Name: NameFull: Ebbert J – PersonEntity: Name: NameFull: Corte KD – PersonEntity: Name: NameFull: Corte DD IsPartOfRelationships: – BibEntity: Dates: – D: 22 M: 08 Text: 2025 Aug 22 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 1471-2288 Numbering: – Type: volume Value: 25 – Type: issue Value: 1 Titles: – TitleFull: BMC medical research methodology Type: main |
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