Causal Inference and Confounding: A Primer for Interpreting and Conducting Infectious Disease Research

被引：2

作者：

Moodie, Erica E. M. ^{[1
,2
]}

机构：

[1] McGill Univ, Dept Epidemiol & Biostat, Montreal, PQ, Canada

[2] McGill Univ, Biostat, 2001 McGill Coll Ave, Monteal, PQ H3A 1G1, Canada

来源：

JOURNAL OF INFECTIOUS DISEASES | 2023年 / 228卷 / 04期

基金：

加拿大自然科学与工程研究理事会; 加拿大健康研究院;

关键词：

causal inference; interpretation; statistical analysis;

D O I：

10.1093/infdis/jiad144

中图分类号：

R392 [医学免疫学]; Q939.91 [免疫学];

学科分类号：

100102 ;

摘要：

引用

页码：365 / 367

页数：3

共 4 条

[1] Formulating causal questions and principled statistical answers [J].

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le Cessie, Saskia ;

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STATISTICS IN MEDICINE, 2020, 39 (30) :4922-4948

[2]

Hernan M., 2020, Causal inference: What If

[3] Reduced Incidence of Hepatocellular Carcinoma in Cirrhotic and Noncirrhotic Patients With Chronic Hepatitis B Treated With Tenofovir-A Propensity Score-Matched Study [J].

Nguyen, Mindie H. ;

Yang, Hwai-I ;

Le, An ;

Henry, Linda ;

Nguyen, Nghia ;

Lee, Mei-Hsuan ;

Zhang, Jian ;

Wong, Christopher ;

Wong, Clifford ;

Huy Trinh .

JOURNAL OF INFECTIOUS DISEASES, 2019, 219 (01) :10-18

[4] The Table 2 Fallacy: Presenting and Interpreting Confounder and Modifier Coefficients [J].

Westreich, Daniel ;

Greenland, Sander .

AMERICAN JOURNAL OF EPIDEMIOLOGY, 2013, 177 (04) :292-298

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