Art
J-GLOBAL ID:201802262413301520   Reference number:18A1031459

A comparison of multiple imputation methods for handling missing values in longitudinal data in the presence of a time-varying covariate with a non-linear association with time: a simulation study

時間を伴う非線形相関を持つ時変共変量の存在下での長期データにおける欠測値を取り扱うための多重補完法の比較:シミュレーション研究【JST・京大機械翻訳】
Author (7):
Material:
Volume: 17  Issue:Page: 114  Publication year: 2017 
JST Material Number: U7434A  ISSN: 1471-2288  Document type: Article
Article type: 原著論文  Country of issue: United Kingdom (GBR)  Language: ENGLISH (EN)
Abstract/Point:
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Japanese summary of the article(about several hundred characters).
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Background Missing data is a c...
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JST classification (1):
JST classification
Category name(code) classified by JST.
Analytical chemistry in general 
Reference (53):
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  • Am J Epidemiol; Statistical issues in life course epidemiology; BL Stavola, D Nitsch, SI Santos, V McCormack, R Hardy, V Mann, TJ Cole, S Morton, DA Leon; 163; 1; 2006; 84-96; 10.1093/aje/kwj003; CR2;
  • BMC Med Res Methodol; A review of the reporting and handling of missing data in cohort studies with repeated assessment of exposure measures; A Karahalios, L Baglietto, JB Carlin, DR English, JA Simpson; 12; 2012; 96; 10.1186/1471-2288-12-96; CR3;
  • Int J Epidemiol; Comparison of imputation and modelling methods in the analysis of a physical activity trial with missing outcomes; AM Wood, IR White, M Hillsdon, J Carpenter; 34; 1; 2005; 89-99; 10.1093/ije/dyh297; CR4;
  • BMC Med Res Methodol; The rise of multiple imputation: a review of the reporting and implementation of the method in medical research; P Hayati Rezvan, KJ Lee, JA Simpson; 15; 2015; 30; 10.1186/s12874-015-0022-1; CR5;
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