文献
J-GLOBAL ID:202102222665772403
整理番号:21A0022464
多施設無作為化試験の設計および解析におけるクラスタリング効果および学習効果の管理:現在の実践を確立するための調査【JST・京大機械翻訳】
Managing clustering effects and learning effects in the design and analysis of multicentre randomised trials: a survey to establish current practice
著者 (8件):
Conroy Elizabeth J.
(Department of Health Data Science, University of Liverpool, a member of Liverpool Health Partners, Liverpool, UK)
,
Conroy Elizabeth J.
(Liverpool Clinical Trials Centre, University of Liverpool, Liverpool, UK)
,
Blazeby Jane M.
(Centre for Surgical Research, Bristol Biomedical Research Centre, Population Health Sciences, University of Bristol, Bristol, UK)
,
Burnside Girvan
(Department of Health Data Science, University of Liverpool, a member of Liverpool Health Partners, Liverpool, UK)
,
Burnside Girvan
(Liverpool Clinical Trials Centre, University of Liverpool, Liverpool, UK)
,
Cook Jonathan A.
(Centre for Statistics in Medicine, University of Oxford, Oxford, UK)
,
Gamble Carrol
(Department of Health Data Science, University of Liverpool, a member of Liverpool Health Partners, Liverpool, UK)
,
Gamble Carrol
(Liverpool Clinical Trials Centre, University of Liverpool, Liverpool, UK)
資料名:
Trials (Web)
(Trials (Web))
巻:
21
号:
1
ページ:
1-13
発行年:
2020年
JST資料番号:
U7556A
ISSN:
1745-6215
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)