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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.
Authors: Best D; Australian Red Cross Lifeblood, Brisbane, Queensland, Australia., Burrage K; School of Mathematical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia., Burrage P; School of Mathematical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia., Donovan D; School of Mathematics and Physics, University of Queensland, Brisbane, Queensland, Australia., Ginige S; Australian Red Cross Lifeblood, Brisbane, Queensland, Australia., Powley T; Australian Red Cross Lifeblood, Brisbane, Queensland, Australia., Thompson B; School of Mathematics and Physics, University of Queensland, Brisbane, Queensland, Australia., Daly J; Australian Red Cross Lifeblood, Brisbane, Queensland, Australia.
Source: PloS one [PLoS One] 2022 Nov 11; Vol. 17 (11), pp. e0276780. Date of Electronic Publication: 2022 Nov 11 (Print Publication: 2022).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Probabilistic mathematical modelling to predict the red cell phenotyped donor panel size.
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  Data: <searchLink fieldCode="AU" term="%22Best+D%22">Best D</searchLink>; Australian Red Cross Lifeblood, Brisbane, Queensland, Australia.<br /><searchLink fieldCode="AU" term="%22Burrage+K%22">Burrage K</searchLink>; School of Mathematical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.<br /><searchLink fieldCode="AU" term="%22Burrage+P%22">Burrage P</searchLink>; School of Mathematical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.<br /><searchLink fieldCode="AU" term="%22Donovan+D%22">Donovan D</searchLink>; School of Mathematics and Physics, University of Queensland, Brisbane, Queensland, Australia.<br /><searchLink fieldCode="AU" term="%22Ginige+S%22">Ginige S</searchLink>; Australian Red Cross Lifeblood, Brisbane, Queensland, Australia.<br /><searchLink fieldCode="AU" term="%22Powley+T%22">Powley T</searchLink>; Australian Red Cross Lifeblood, Brisbane, Queensland, Australia.<br /><searchLink fieldCode="AU" term="%22Thompson+B%22">Thompson B</searchLink>; School of Mathematics and Physics, University of Queensland, Brisbane, Queensland, Australia.<br /><searchLink fieldCode="AU" term="%22Daly+J%22">Daly J</searchLink>; Australian Red Cross Lifeblood, Brisbane, Queensland, Australia.
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  Data: <searchLink fieldCode="JN" term="%22101285081%22">PloS one</searchLink> [PLoS One] 2022 Nov 11; Vol. 17 (11), pp. e0276780. <i>Date of Electronic Publication: </i>2022 Nov 11 (<i>Print Publication: </i>2022).
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        Value: 10.1371/journal.pone.0276780
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              Text: 2022 Nov 11
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