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High-dimensional randomization-based inference capitalizing on classical design and modern computing.

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Title: High-dimensional randomization-based inference capitalizing on classical design and modern computing.
Authors: Bind MC; Biostatistics Center, Massachusetts General Hospital, 50, Staniford Street, Boston, MA 02114 USA., Rubin DB; Yau Center for Mathematical Sciences, Tsinghua University, Beijing, China.; Department of Statistical Science, Fox School of Business, Temple University, Philadelphia, PA USA.
Source: Behaviormetrika [Behaviormetrika] 2023; Vol. 50 (1), pp. 9-26. Date of Electronic Publication: 2022 Sep 28.
Publication Type: Journal Article
Journal Info: Publisher: Behaviormetric Society of Japan Country of Publication: Japan NLM ID: 101091502 Publication Model: Print-Electronic Cited Medium: Print ISSN: 0385-7417 (Print) Linking ISSN: 03857417 NLM ISO Abbreviation: Behaviormetrika Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Bind+MC%22">Bind MC</searchLink>; Biostatistics Center, Massachusetts General Hospital, 50, Staniford Street, Boston, MA 02114 USA.<br /><searchLink fieldCode="AU" term="%22Rubin+DB%22">Rubin DB</searchLink>; Yau Center for Mathematical Sciences, Tsinghua University, Beijing, China.; Department of Statistical Science, Fox School of Business, Temple University, Philadelphia, PA USA.
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        Value: 10.1007/s41237-022-00183-x
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      – Code: eng
        Text: English
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        StartPage: 9
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      – TitleFull: High-dimensional randomization-based inference capitalizing on classical design and modern computing.
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            NameFull: Bind MC
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              Text: 2023
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              Value: 50
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