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A recursive partitioning approach to investigating correlates of self-rated health: The CARDIA Study.

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第一作者： Shilpa,Nayak

第一单位： Department of Public Health and Policy, The Whelan Building, Quadrangle, The University of Liverpool, Liverpool L69 3GB, UK.

作者： Shilpa,Nayak ^[1] ; Alan,Hubbard ^[2] ; Stephen,Sidney ^[3] ; S Leonard,Syme ^[2]

作者单位： Department of Public Health and Policy, The Whelan Building, Quadrangle, The University of Liverpool, Liverpool L69 3GB, UK. ^[1] School of Public Health, The University of California, Berkeley, CA 94720, USA. ^[2] Kaiser Permanente Northern California Division of Research, 2000 Broadway, Oakland, CA 94612, USA. ^[3]

关键词 Classification tree analysis Health determinants Random forests Recursive partitioning methods Self-rated health

DOI 10.1016/j.ssmph.2017.12.002

PMID 29854903

发布时间 2024-06-10

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A recursive partitioning approach to investigating correlates of self-rated health: The CARDIA Study.

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