Probabilistic mathematical modelling to predict the red cell phenotyped donor panel size.
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| Title: | Probabilistic mathematical modelling to predict the red cell phenotyped donor panel size. |
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| Authors: | Best, Denisse1 (AUTHOR) dbest@redcrossblood.org.au, Burrage, Kevin2 (AUTHOR), Burrage, Pamela2 (AUTHOR), Donovan, Diane3 (AUTHOR), Ginige, Shamila1 (AUTHOR), Powley, Tanya1 (AUTHOR), Thompson, Bevan3 (AUTHOR), Daly, James1 (AUTHOR) |
| Source: | PLoS ONE. 11/11/2022, Vol. 17 Issue 11, p1-15. 15p. |
| 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: 160161757 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Probabilistic mathematical modelling to predict the red cell phenotyped donor panel size. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Best%2C+Denisse%22">Best, Denisse</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> dbest@redcrossblood.org.au</i><br /><searchLink fieldCode="AR" term="%22Burrage%2C+Kevin%22">Burrage, Kevin</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Burrage%2C+Pamela%22">Burrage, Pamela</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Donovan%2C+Diane%22">Donovan, Diane</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ginige%2C+Shamila%22">Ginige, Shamila</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Powley%2C+Tanya%22">Powley, Tanya</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Thompson%2C+Bevan%22">Thompson, Bevan</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Daly%2C+James%22">Daly, James</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22PLoS+ONE%22">PLoS ONE</searchLink>. 11/11/2022, Vol. 17 Issue 11, p1-15. 15p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=160161757 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pone.0276780 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 1 Titles: – TitleFull: Probabilistic mathematical modelling to predict the red cell phenotyped donor panel size. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Best, Denisse – PersonEntity: Name: NameFull: Burrage, Kevin – PersonEntity: Name: NameFull: Burrage, Pamela – PersonEntity: Name: NameFull: Donovan, Diane – PersonEntity: Name: NameFull: Ginige, Shamila – PersonEntity: Name: NameFull: Powley, Tanya – PersonEntity: Name: NameFull: Thompson, Bevan – PersonEntity: Name: NameFull: Daly, James IsPartOfRelationships: – BibEntity: Dates: – D: 11 M: 11 Text: 11/11/2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 19326203 Numbering: – Type: volume Value: 17 – Type: issue Value: 11 Titles: – TitleFull: PLoS ONE Type: main |
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