Covariate balance for no confounding in the sufficient-cause model

Suzuki Etsuji; Tsuda Toshihide; Yamamoto Eiji

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Covariate balance for no confounding in the sufficient-cause model

机译：在足够原因模型中没有混淆的协变量平衡

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摘要

Purpose: To show conditions of covariate balance for no confounding in the sufficient-cause model and discuss its relationship with exchangeability conditions.

机译：None

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来源
《Annals of epidemiology》 |2018年第1期|共6页
作者
Suzuki Etsuji; Tsuda Toshihide; Yamamoto Eiji;
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作者单位

Harvard TH Chan Sch Publ Hlth Dept Epidemiol Boston MA USA;

Okayama Univ Grad Sch Environm &

Life Sci Dept Human Ecol Kita Ku Okayama Japan;

Okayama Univ Sci Fac Informat Dept Informat Sci Kita Ku Okayama Japan;

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原文格式 PDF
正文语种 eng
中图分类流行病学与防疫;
关键词
Bias; Causality; Confounding factors; Epidemiologic methods;

机译：偏见;因果关系;混杂因素;流行病学方法;

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2. CONDITIONS FOR UNIFORMLY NON-CONFOUNDING OF CAUSAL DISTRIBUTION EFFECTS OVER MULTIPLE COVARIATES [J] . Xueli WANG 系统科学与复杂性：英文版 . 2010,第004期
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4. Covariate balance for no confounding in the sufficient-cause model [J] . Suzuki Etsuji, Tsuda Toshihide, Yamamoto Eiji Annals of epidemiology . 2018,第1期

机译：在足够原因模型中没有混淆的协变量平衡
5. Assessing the impact of propensity score estimation and implementation on covariate balance and confounding control within and across important subgroups in comparative effectiveness research. [J] . Cynthia J Girman, Mugdha Gokhale, Tzuyung Doug Kou, Medical care . 2014,第3期

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Covariate balance for no confounding in the sufficient-cause model

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