文献
J-GLOBAL ID:201802262413301520
整理番号:18A1031459
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】
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
著者 (7件):
Silva Anurika Priyanjali De
(Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia)
,
Moreno-Betancur Margarita
(Clinical Epidemiology and Biostatistics Unit, Murdoch Childrens Research Institute, Royal Children’s Hospital, Melbourne, Australia)
,
Moreno-Betancur Margarita
(Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia)
,
Livera Alysha Madhu De
(Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia)
,
Lee Katherine Jane
(Clinical Epidemiology and Biostatistics Unit, Murdoch Childrens Research Institute, Royal Children’s Hospital, Melbourne, Australia)
,
Lee Katherine Jane
(Department of Paediatrics, University of Melbourne, Melbourne, Australia)
,
Simpson Julie Anne
(Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia)
資料名:
BMC Medical Research Methodology (Web)
(BMC Medical Research Methodology (Web))
巻:
17
号:
1
ページ:
114
発行年:
2017年
JST資料番号:
U7434A
ISSN:
1471-2288
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)