文献
J-GLOBAL ID:202002257588738508
整理番号:20A2583590
英国の電子健康記録における交絡調整を改善するための高次元傾向スコア原理の実施【JST・京大機械翻訳】
Implementing high-dimensional propensity score principles to improve confounder adjustment in UK electronic health records
著者 (8件):
Tazare John
(Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK)
,
Smeeth Liam
(Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK)
,
Smeeth Liam
(Health Data Research UK, London, UK)
,
Evans Stephen J. W.
(Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK)
,
Williamson Elizabeth
(Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK)
,
Williamson Elizabeth
(Health Data Research UK, London, UK)
,
Douglas Ian J.
(Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK)
,
Douglas Ian J.
(Health Data Research UK, London, UK)
資料名:
Pharmacoepidemiology and Drug Safety
(Pharmacoepidemiology and Drug Safety)
巻:
29
号:
11
ページ:
1373-1381
発行年:
2020年
JST資料番号:
W0540A
ISSN:
1053-8569
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)